메뉴 건너뛰기




Volumn , Issue , 1992, Pages 1-37

Combinations of genetic algorithms and neural networks: A survey of the state of the art

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL LIFE; CHROMOSOMES; ENCODING (SYMBOLS); GENETIC ALGORITHMS; GRADIENT METHODS; TOPOLOGY;

EID: 85033056841     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/COGANN.1992.273950     Document Type: Conference Paper
Times cited : (454)

References (152)
  • 2
    • 0002589531 scopus 로고
    • An empirical study of bit vector function optimization
    • L. Davis (Ed.), San Mateo, CA: Morgan Kaufmann
    • Ackley, D.H. (1987b). An empirical study of bit vector function optimization. In L. Davis (Ed.), Genetic Algorithms and Simulated Annealing (pp. 170-204). San Mateo, CA: Morgan Kaufmann.
    • (1987) Genetic Algorithms and Simulated Annealing , pp. 170-204
    • Ackley, D.H.1
  • 3
    • 0000500817 scopus 로고
    • Interactions between learning and evolution
    • C. Langton, C. Taylor, J.D. Farmer and S. Rasmussen (Eds.), Reading, MA: Addison Wesley
    • Ackley, D.H. & Littman, M.L. (1992). Interactions between learning and evolution. In C. Langton, C. Taylor, J.D. Farmer and S. Rasmussen (Eds.), Artificial Life 11 (pp. 487-509). Reading, MA: Addison Wesley.
    • (1992) Artificial Life 11 , pp. 487-509
    • Ackley, D.H.1    Littman, M.L.2
  • 5
    • 0024646143 scopus 로고
    • Learning to control an inverted pendulum using neural networks
    • Anderson, C. W. (1989). Learning to control an inverted pendulum using neural networks. IEEE Control Systems Magazine, 9, 31-37.
    • (1989) IEEE Control Systems Magazine , vol.9 , pp. 31-37
    • Anderson, C.W.1
  • 6
    • 0003286954 scopus 로고
    • A challenging set of control problems
    • T. Miller, R. Sutton and P. Werbos (Eds.), Cambridge, MA: MIT Press
    • Anderson, C. W., & Miller, W. T.(1990). A challenging set of control problems. In T. Miller, R. Sutton and P. Werbos (Eds.), Neural Networks for Control (pp. 475-510). Cambridge, MA: MIT Press.
    • (1990) Neural Networks for Control , pp. 475-510
    • Anderson, C.W.1    Miller, W.T.2
  • 8
    • 0001980141 scopus 로고    scopus 로고
    • The evolution of strategies in the iterated prisoner's dilemma
    • L. Davis (Ed.), San Mateo, CA: Morgan Kaufmann
    • Axelrod, R. The evolution of strategies in the iterated prisoner's dilemma. In L. Davis (Ed.), Gerietic algorithms and simulated annealing (pp. 32-41). San Mateo, CA: Morgan Kaufmann.
    • Gerietic Algorithms and Simulated Annealing , pp. 32-41
    • Axelrod, R.1
  • 12
    • 84977052581 scopus 로고
    • Evolving dynamical neural networks for adaptive behavior
    • Summer
    • Beer, R.D. & Gallagher, J.C. (1992, Summer) Evolving dynamical neural networks for adaptive behavior. Adaptive Behavior. (pp. 91-122).
    • (1992) Adaptive Behavior , pp. 91-122
    • Beer, R.D.1    Gallagher, J.C.2
  • 13
    • 0040238506 scopus 로고
    • When both individuals and populations search: Adding simple learning to the genetic algorithm
    • J.D. Schaffer (Ed.), San Mateo, CA: Morgan Kaufmann
    • Belew, R.K. (1989a). When both individuals and populations search: Adding simple learning to the genetic algorithm. In J.D. Schaffer (Ed.), Third international conference on genetic algorithms, (pp. 34-41). San Mateo, CA: Morgan Kaufmann.
    • (1989) Third International Conference on Genetic Algorithms , pp. 34-41
    • Belew, R.K.1
  • 15
    • 85068654697 scopus 로고
    • May Technical abstract, Computer Science & Engineering Dept., La Jolla, CA: University of California at San Diego
    • Belew, R.K. & McInerney, J. (1989, May). Using the genetic algorithm to wire feedforward networks. Technical abstract, Computer Science & Engineering Dept., La Jolla, CA: University of California at San Diego.
    • (1989) Using the Genetic Algorithm to Wire Feedforward Networks
    • Belew, R.K.1    McInerney, J.2
  • 17
    • 0023543783 scopus 로고
    • Breeding intelligent automata
    • M. Caudell and C. Butler (Eds.), San Diego, CA: IEEE
    • Bergman, A. & Kerszberg, M. (1987). Breeding intelligent automata. In M. Caudell and C. Butler (Eds.), IEEE international conference on neural networks (pp. 11-63 -11-70). San Diego, CA: IEEE.
    • (1987) IEEE International Conference on Neural Networks , pp. 1163-1170
    • Bergman, A.1    Kerszberg, M.2
  • 18
    • 0001161997 scopus 로고
    • Classifier systems and genetic algorithms
    • J.G. Carbonell (Ed.), Cambridge, MA: MIT Press
    • Booker, L.B., Goldberg, D.E. & Holland, J.H. (1990). Classifier systems and genetic algorithms. In J.G. Carbonell (Ed.), Machine learning paradigms and methods (pp. 235-282). Cambridge, MA: MIT Press.
    • (1990) Machine Learning Paradigms and Methods , pp. 235-282
    • Booker, L.B.1    Goldberg, D.E.2    Holland, J.H.3
  • 20
    • 0001856084 scopus 로고
    • Optimization through evolution and recombination selforganizing systems
    • Yovits, Jacobi & Goldstein (Eds.), Washington, D.C.: Spartan Books
    • Bremermann, H. J. (1962). Optimization through evolution and recombination selforganizing systems. Yovits, Jacobi & Goldstein (Eds.), Self-organizing systems (pp. 93-106). Washington, D.C.: Spartan Books.
    • (1962) Self-organizing Systems , pp. 93-106
    • Bremermann, H.J.1
  • 21
    • 0026839971 scopus 로고
    • Fast genetic selection of features for neural network classifiers
    • Brill, F.Z., Brown, D.E. & Martin, W.N. (1992). Fast genetic selection of features for neural network classifiers. IEEE Transactions on Neural Networks, 3 (2), 324-328.
    • (1992) IEEE Transactions on Neural Networks , vol.3 , Issue.2 , pp. 324-328
    • Brill, F.Z.1    Brown, D.E.2    Martin, W.N.3
  • 23
    • 0003056220 scopus 로고
    • Parametric connectivity: Training of constrained networks using genetic algorithms
    • J.D. Schaffer (Ed.), San Mateo, CA: Morgan Kaufmann
    • Caudell, T.P & Dolan, C.P. (1989). Parametric connectivity: Training of constrained networks using genetic algorithms. In J.D. Schaffer (Ed.), Third international conference on genetic algorithms (pp. 370-374). San Mateo, CA: Morgan Kaufmann.
    • (1989) Third International Conference on Genetic Algorithms , pp. 370-374
    • Caudell, T.P.1    Dolan, C.P.2
  • 24
    • 0024877310 scopus 로고
    • Parametric connectivity: Feasibility of learning in constrained weight space
    • Hillsdale, NJ: Lawrence Erlbaum
    • Caudell, T.P. (1990). Parametric connectivity: Feasibility of learning in constrained weight space. IEEE international joint conference on neural networks (pp. I-667 - I-675). Hillsdale, NJ: Lawrence Erlbaum.
    • (1990) IEEE International Joint Conference on Neural Networks , pp. I667-I675
    • Caudell, T.P.1
  • 26
    • 0013376536 scopus 로고
    • Evolutionary neural networks
    • March
    • Caudill, M. (1991, March). Evolutionary neural networks. AI Expert, pp. 28-33.
    • (1991) AI Expert , pp. 28-33
    • Caudill, M.1
  • 27
    • 0001793307 scopus 로고
    • The evolution of learning: An experiment in genetic connectionism
    • D.S. Touretsky, J.L. Elman, T.J Sejnowski & G.E. Hinton (Eds.) San Mateo, CA: Morgan Kaufmann
    • Chalmers, D.J. (1990). The evolution of learning: An experiment in genetic connectionism. In D.S. Touretsky, J.L. Elman, T.J Sejnowski & G.E. Hinton (Eds.) Proceedings of the 1990 connectionist models summer school (pp. 81-90). San Mateo, CA: Morgan Kaufmann.
    • (1990) Proceedings of the 1990 Connectionist Models Summer School , pp. 81-90
    • Chalmers, D.J.1
  • 28
    • 0000436567 scopus 로고
    • Using genetic algorithms to improve pattern classification performance
    • R.P. Lippmann, J.E. Moody & D.S. Touretsky (Eds.), San Mateo, CA: Morgan Kaufmann
    • Chang, E.J. & Lippmann, R.P. (1991). Using genetic algorithms to improve pattern classification performance. In R.P. Lippmann, J.E. Moody & D.S. Touretsky (Eds.), Advances in neural information processing 3 (pp. 797-803). San Mateo, CA: Morgan Kaufmann.
    • (1991) Advances in Neural Information Processing 3 , pp. 797-803
    • Chang, E.J.1    Lippmann, R.P.2
  • 29
    • 84913733923 scopus 로고
    • Genetic determinism and epigenesis of the neuronal network: Is there a biological compromise between Chomsky and Piaget?
    • M. Piatelli-Palmarini (Ed.), New York: Routledge & Kegan Paul
    • Changeux, J.-P. (1980). Genetic determinism and epigenesis of the neuronal network: Is there a biological compromise between Chomsky and Piaget? In M. Piatelli-Palmarini (Ed.), Language and learning - The debate between Jean Piaget and Noam Chomsky (pp. 184-202). New York: Routledge & Kegan Paul.
    • (1980) Language and Learning - The Debate between Jean Piaget and Noam Chomsky , pp. 184-202
    • Changeux, J.-P.1
  • 30
    • 85030642419 scopus 로고
    • An artificial neural network representation for artificial organisms
    • H.-P. Schwefel & R. Manner (Eds.), Berlin: Springer-Verlag 263
    • Collins, R. & Jefferson, D. (1991). An artificial neural network representation for artificial organisms. In H.-P. Schwefel & R. Manner (Eds.), Parallel problem solving from nature (pp. 269-263). Berlin: Springer-Verlag.
    • (1991) Parallel Problem Solving from Nature , pp. 269
    • Collins, R.1    Jefferson, D.2
  • 31
    • 0000949930 scopus 로고
    • Neuronal dynamics and evolutionary learning
    • M. Kochen & H.M. Hastings (Eds.) Boulder, CO: Westview Press
    • Conrad, M., Kampfner, R.R. & Kirby, K.G. (1988). Neuronal dynamics and evolutionary learning. In M. Kochen & H.M. Hastings (Eds.) Advances in cognitive science (pp. 169-189). Boulder, CO: Westview Press
    • (1988) Advances in Cognitive Science , pp. 169-189
    • Conrad, M.1    Kampfner, R.R.2    Kirby, K.G.3
  • 32
    • 0041512819 scopus 로고
    • The only challenging problems are deceptive: Global search by solving order-1 hyperplanes
    • R.K. Belew & L.B. Booker (Eds.), San Mateo, CA: Morgan Kaufmann
    • Das, R. & Whitley, D. (1991). The only challenging problems are deceptive: Global search by solving order-1 hyperplanes. In R.K. Belew & L.B. Booker (Eds.), Fourth internationd conference on genetic algorithms (pp. 166-173). San Mateo, CA: Morgan Kaufmann.
    • (1991) Fourth Internationd Conference on Genetic Algorithms , pp. 166-173
    • Das, R.1    Whitley, D.2
  • 34
    • 0042483133 scopus 로고
    • Mapping neural networks into classifier systems
    • J.D. Schaffer (Ed.), San Mateo, CA: Morgan Kaufmann
    • Davis, L. (1989a). Mapping Neural Networks into Classifier Systems In J.D. Schaffer (Ed.), Third international conference on genetic algorithms (pp. 375-378). San Mateo, CA: Morgan Kaufmann.
    • (1989) Third International Conference on Genetic Algorithms , pp. 375-378
    • Davis, L.1
  • 35
    • 85068661335 scopus 로고    scopus 로고
    • Mapping neural networks into classifier systems
    • 198913 D.S. Touretsky (Ed.), San Mateo, CA: Morgan Kaufmann
    • Davis, L. (198913). Mapping Neural Networks into Classifier Systems In D.S. Touretsky (Ed.), Advances in neural information processing I (pp. 49-56). San Mateo, CA: Morgan Kaufmann.
    • Advances in Neural Information Processing I , pp. 49-56
    • Davis, L.1
  • 36
    • 70349309443 scopus 로고
    • Toward the evolution of symbols
    • J.J. Grefenstette (Ed.), Hillsdale, NJ: Lawrence Erlbaum
    • Dolan, C.P. & Dyer, M.G. (1987). Toward the evolution of symbols. In J.J. Grefenstette (Ed.), Second international conference on genetic algorithms (pp. 123-131). Hillsdale, NJ: Lawrence Erlbaum.
    • (1987) Second International Conference on Genetic Algorithms , pp. 123-131
    • Dolan, C.P.1    Dyer, M.G.2
  • 39
    • 0023596194 scopus 로고
    • Darwinian optimization of synthetic neural systems
    • M. Caudill & C. Butler (Eds.), San Diego, CA: IEEE
    • Dress, W.B. (1987). Darwinian optimization of synthetic neural systems. In M. Caudill & C. Butler (Eds.), IEEE international conference on neural networks (pp. 111-769-111-776). San Diego, CA: IEEE.
    • (1987) IEEE International Conference on Neural Networks , pp. 111769-111776
    • Dress, W.B.1
  • 41
    • 85068644417 scopus 로고
    • Technical report, Oak Ridge, TN: Instrumentation and Controls Division, Oak Ridge National Laboratory
    • Dress, W.B. (1990). Electronic Zife and synthetic intelligent systems. Technical report, Oak Ridge, TN: Instrumentation and Controls Division, Oak Ridge National Laboratory.
    • (1990) Electronic Zife and Synthetic Intelligent Systems
    • Dress, W.B.1
  • 42
  • 46
    • 0001334115 scopus 로고
    • The CHC adaptive search algorithm: How to have safe search when engaging in nontraditional genetic recombination
    • G. Rawlins (Ed.), San Mateo, CA: Morgan Kaufmann
    • Eshelman, L.J. (1991). The CHC adaptive search algorithm: How to have safe search when engaging in nontraditional genetic recombination In G. Rawlins (Ed.), Foundations of genetic algorithms (pp. 265-283). San Mateo, CA: Morgan Kaufmann.
    • (1991) Foundations of Genetic Algorithms , pp. 265-283
    • Eshelman, L.J.1
  • 48
    • 84915338196 scopus 로고
    • Darwinian evolution as a paradigm for AI research
    • July
    • Fenanzo, A.J. (1986, July). Darwinian evolution as a paradigm for AI research. SIGART Newsletter, (97), 22-23.
    • (1986) SIGART Newsletter , Issue.97 , pp. 22-23
    • Fenanzo, A.J.1
  • 50
    • 0025182492 scopus 로고
    • Comparing genetic operators with Gaussian mutations in simulated evolutionary processes using linear systems
    • Fogel, D.B. & Atmar, J.W. (1990). Comparing genetic operators with Gaussian mutations in simulated evolutionary processes using linear systems. Biological Cybernetics 63, 111-114.
    • (1990) Biological Cybernetics , vol.63 , pp. 111-114
    • Fogel, D.B.1    Atmar, J.W.2
  • 51
    • 0040892464 scopus 로고
    • Evolving a learning algorithm for the binary perceptron
    • November
    • Fontanari, J.F. & Meir, R. (1991, November). Evolving a learning algorithm for the binary perceptron. Network, 2 (4), 353-359.
    • (1991) Network , vol.2 , Issue.4 , pp. 353-359
    • Fontanari, J.F.1    Meir, R.2
  • 53
    • 0040445970 scopus 로고
    • The performance of genetic algorithms on Walsh polynomials: Some anomalies and their explanation
    • R.K. Belew & L.B. Booker (Eds.), San Mateo, CA: Morgan Kaufmann
    • Forrest, S. & Mitchell, M. (1991). The performance of genetic algorithms on Walsh polynomials: Some anomalies and their explanation. In R.K. Belew & L.B. Booker (Eds.), Fourth international conference on genetic algorithms (pp. 182-189). San Mateo, CA: Morgan Kaufmann.
    • (1991) Fourth International Conference on Genetic Algorithms , pp. 182-189
    • Forrest, S.1    Mitchell, M.2
  • 55
    • 0025558057 scopus 로고
    • Genetic programming: Building nanobrains with genetically programmed neural network modules
    • San Diego, CA: IEEE
    • de Garis, H. (1990a). Genetic programming: Building nanobrains with genetically programmed neural network modules. In IEEE international joint conference on neural networks (pp. 111-511 - 111-516). San Diego, CA: IEEE.
    • (1990) IEEE International Joint Conference on Neural Networks , pp. 111511-111516
    • De Garis, H.1
  • 56
    • 0006221897 scopus 로고
    • Genetic programming: Evolution of a time dependent neural network module which teaches a pair of stick legs to walk
    • L.C. Aiello (Ed.), San Mateo, CA: Morgan Kaufmann
    • de Garis, H. (1990b). Genetic programming: Evolution of a time dependent neural network module which teaches a pair of stick legs to walk. IN L.C. Aiello (Ed.), Proceedings of the 9th European Conference on Artificial Intelligence (pp. 204-206). San Mateo, CA: Morgan Kaufmann.
    • (1990) Proceedings of the 9th European Conference on Artificial Intelligence , pp. 204-206
    • De Garis, H.1
  • 58
    • 0002076808 scopus 로고
    • Simple genetic algorithms and the minimal, deceptive problem
    • L. Davis (Ed.), San Mateo, CA: Morgan Kaufmann
    • Goldberg, D.E. (1987). Simple genetic algorithms and the minimal, deceptive problem. In L. Davis (Ed.), Genetic algorithms and simulated annealing (pp. 74-88). San Mateo, CA: Morgan Kaufmann.
    • (1987) Genetic Algorithms and Simulated Annealing , pp. 74-88
    • Goldberg, D.E.1
  • 60
    • 58749093776 scopus 로고
    • A genetic algorithm as the learning procedure for neural networks
    • Baltimore, MD: IEEE
    • Gonzalez-Seco, J. (1992). A genetic algorithm as the learning procedure for neural networks. IEEE international joint conference on neural networks (pp. 1-835 - 1-840). Baltimore, MD: IEEE.
    • (1992) IEEE International Joint Conference on Neural Networks , pp. 1835-1840
    • Gonzalez-Seco, J.1
  • 64
    • 3743094752 scopus 로고
    • GANNET: Genetic design of a neural net for face recognition
    • H.-P. Schwefel & R. Manner (Eds.), Berlin: Springer-Verlag
    • Hancock, P.J.B. & Smith, L.S. (1991). GANNET: Genetic design of a neural net for face recognition. In H.-P. Schwefel & R. Manner (Eds.), Parallel problem solving from nature (pp. 292-296). Berlin: Springer-Verlag.
    • (1991) Parallel Problem Solving from Nature , pp. 292-296
    • Hancock, P.J.B.1    Smith, L.S.2
  • 66
    • 0002811225 scopus 로고
    • Towards the genetic synthesis of neural networks
    • J.D. Schaffer (Ed.), San Mateo, CA: Morgan Kaufmann
    • Harp, S.A., Samad, T. & Guha, A. (1989). Towards the genetic synthesis of neural networks. In J.D. Schaffer (Ed.), Third international conference on genetic algorithms (pp. 360-369). San Mateo, CA: Morgan Kaufmann.
    • (1989) Third International Conference on Genetic Algorithms , pp. 360-369
    • Harp, S.A.1    Samad, T.2    Guha, A.3
  • 67
    • 0008440530 scopus 로고
    • Designing application-specific neural networks using the genetic algorithm
    • D.S. Touretsky (Ed.), San Mateo, CA: Morgan Kaufmann
    • Harp, S.A., Samad, T. & Guha, A. (1990). Designing application-specific neural networks using the genetic algorithm. In D.S. Touretsky (Ed.), Advances in neural information processing 2 (pp. 447-454). San Mateo, CA: Morgan Kaufmann.
    • (1990) Advances in Neural Information Processing 2 , pp. 447-454
    • Harp, S.A.1    Samad, T.2    Guha, A.3
  • 69
    • 0002903609 scopus 로고
    • The genetic synthesis of neural network architecture
    • L. Davis (Ed.), New York: Van Nostrand Reinhold
    • Harp, S.A. & Samad, T. (1991b). The genetic synthesis of neural network architecture. In L. Davis (Ed.), Handbook of genetic algorithms (pp. 202-221). New York: Van Nostrand Reinhold.
    • (1991) Handbook of Genetic Algorithms , pp. 202-221
    • Harp, S.A.1    Samad, T.2
  • 70
    • 0005811895 scopus 로고
    • Learning in neural nets by genetic algorithms
    • R. Eckmiller, G. Hartmann & G. Hauske (Eds.), Amsterdam: Elsevier Science Publishers
    • Heistermann, J. (1990). Learning in neural nets by genetic algorithms. In R. Eckmiller, G. Hartmann & G. Hauske (Eds.), Parallel processing in neural systems and computers (pp. 165-168). Amsterdam: Elsevier Science Publishers.
    • (1990) Parallel Processing in Neural Systems and Computers , pp. 165-168
    • Heistermann, J.1
  • 71
    • 85030647628 scopus 로고
    • The application of a genetic approach as an algorithm for neural networks
    • H.-P. Schwefel & R. Manner (Eds.), Berlin: Springer-Verlag
    • Heistermann, J. (1991). The application of a genetic approach as an algorithm for neural networks. In H.-P. Schwefel & R. Manner (Eds.), Parallel problem solving from nature (pp. 297-301). Berlin: Springer-Verlag.
    • (1991) Parallel Problem Solving from Nature , pp. 297-301
    • Heistermann, J.1
  • 72
    • 0001118093 scopus 로고
    • CO-evolving parasites improve simulated evolution as an optimization procedures
    • S. Forrest (Ed.), Amsterdam: North Holland
    • Hillis, W.D. (1990). CO-evolving parasites improve simulated evolution as an optimization procedures. In S. Forrest (Ed.), Emergent computation (pp. 228-234). Amsterdam: North Holland.
    • (1990) Emergent Computation , pp. 228-234
    • Hillis, W.D.1
  • 73
  • 74
    • 0000211184 scopus 로고
    • How learning can guide evolution
    • June
    • Hinton, G.E. & Nowlan, S.J. (1987, June). How learning can guide evolution. Complex Systems, pp. 495-502.
    • (1987) Complex Systems , pp. 495-502
    • Hinton, G.E.1    Nowlan, S.J.2
  • 75
    • 33747675068 scopus 로고
    • Genetic improvements of feedforward nets for approximating functions
    • H.-P. Schwefel & R. Manner (Eds.), Berlin: Springer-Verlag
    • Hoffgen, K.-U., Sieman, H.P. & Ultsch, A. (1991). Genetic improvements of feedforward nets for approximating functions. In H.-P. Schwefel & R. Manner (Eds.), Parallel problem solving from nature (pp. 302-306). Berlin: Springer-Verlag.
    • (1991) Parallel Problem Solving from Nature , pp. 302-306
    • Hoffgen, K.-U.1    Sieman, H.P.2    Ultsch, A.3
  • 77
    • 0026988817 scopus 로고
    • Genetic algorithms
    • July
    • Holland, J.H. (1992, July). Genetic algorithms. Scientific American, pp. 66-72.
    • (1992) Scientific American , pp. 66-72
    • Holland, J.H.1
  • 78
    • 0020118274 scopus 로고
    • Neural networks and physical systems with emergent collective computational abilities
    • Hopfield, J.J. (1982). Neural networks and physical systems with emergent collective computational abilities. Proceedings of the National Academy of Sciences, 79, 2554-2558.
    • (1982) Proceedings of the National Academy of Sciences , vol.79 , pp. 2554-2558
    • Hopfield, J.J.1
  • 80
    • 0026835531 scopus 로고
    • Neural network application for direct feedback controllers
    • March
    • Ichikawa, Y. & Sawa, T. (1992, March). Neural network application for direct feedback controllers. IEEE Transactions on Neural Networks, pp. 224-231.
    • (1992) IEEE Transactions on Neural Networks , pp. 224-231
    • Ichikawa, Y.1    Sawa, T.2
  • 81
    • 85068705036 scopus 로고    scopus 로고
    • Training product unit neural networks with genetic algorithms
    • in press
    • Janson, D. & Frenzel, J. (in press). Training product unit neural networks with genetic algorithms. IEEE Expert.
    • IEEE Expert
    • Janson, D.1    Frenzel, J.2
  • 82
    • 0347020318 scopus 로고
    • Improving the performance of genetic algorithms in automated discovery of parameters
    • B.W. Porter & R.J. Mooney (Eds.), San Mateo, CA: Morgan Kaufmann
    • Kadaba, N. & Nygard, K.E. (1990). Improving the performance of genetic algorithms in automated discovery of parameters. In B.W. Porter & R.J. Mooney (Eds.), Proceedings of the seventh international conference on machine learning (pp. 140-148). San Mateo, CA: Morgan Kaufmann.
    • (1990) Proceedings of the Seventh International Conference on Machine Learning , pp. 140-148
    • Kadaba, N.1    Nygard, K.E.2
  • 83
    • 0347964255 scopus 로고
    • Integration of adaptive machine learning and knowledge-based systems for routing and scheduling applications
    • Kadaba, N., Nygard, K.E. & Juell, P.L. (1991, vol 2, iss 1). Integration of adaptive machine learning and knowledge-based systems for routing and scheduling applications. Expert Systems with Applications, pp. 15-27.
    • (1991) Expert Systems with Applications , vol.2 , Issue.1 , pp. 15-27
    • Kadaba, N.1    Nygard, K.E.2    Juell, P.L.3
  • 84
    • 0002049072 scopus 로고
    • System identification with evolving polynomial networks
    • R.K. Belew & L.B. Booker (Eds.), San Mateo, CA: Morgan Kaufmann
    • Kargupta, H. & Smith, R.E. (1991). System identification with evolving polynomial networks. In R.K. Belew & L.B. Booker (Eds.), Fourth international conference on genetic algorithms (pp. 370-376). San Mateo, CA: Morgan Kaufmann.
    • (1991) Fourth International Conference on Genetic Algorithms , pp. 370-376
    • Kargupta, H.1    Smith, R.E.2
  • 86
    • 0007444029 scopus 로고
    • Evolution and learning in neural networks: The number and distribution of learning trials affect the rate of evolution
    • R.P. Lippmann, J.E. Moody & D.S. Touretsky (Eds.), San Mateo, CA: Morgan Kaufmann
    • Keesing, R. & Stork, D.G. (1991). Evolution and learning in neural networks: The number and distribution of learning trials affect the rate of evolution. In R.P. Lippmann, J.E. Moody & D.S. Touretsky (Eds.), Advances in neural information processing 3 (pp. 804-810). San Mateo, CA: Morgan Kaufmann.
    • (1991) Advances in Neural Information Processing 3 , pp. 804-810
    • Keesing, R.1    Stork, D.G.2
  • 87
    • 0001577032 scopus 로고
    • Hybridizing the genetic algorithm and the K nearest neighbors classification algorithm
    • R.K. Belew & L.B. Booker (Eds.), San Mateo, CA: Morgan Kaufmann
    • Kelly, J.D. & Davis, L. (1991). Hybridizing the genetic algorithm and the K nearest neighbors classification algorithm. In R.K. Belew & L.B. Booker (Eds.), Fourth international conference on genetic algorithms (pp. 377-383). San Mateo, CA: Morgan Kaufmann.
    • (1991) Fourth International Conference on Genetic Algorithms , pp. 377-383
    • Kelly, J.D.1    Davis, L.2
  • 88
    • 0002933170 scopus 로고
    • Designing neural network using genetic algorithm with graph generation system
    • Kitano, H. (1990a). Designing neural network using genetic algorithm with graph generation system. Complex Systems 4, 461-476.
    • (1990) Complex Systems , vol.4 , pp. 461-476
    • Kitano, H.1
  • 89
    • 84982464075 scopus 로고
    • Empirical studies on the speed of convergence of neural network training using genetic algorithms
    • Cambridge, MA: MIT Press
    • Kitano, H. (1990b). Empirical studies on the speed of convergence of neural network training using genetic algorithms. Proceedings of the national conference on artificial intelligence (pp. 789-795). Cambridge, MA: MIT Press.
    • (1990) Proceedings of the National Conference on Artificial Intelligence , pp. 789-795
    • Kitano, H.1
  • 91
    • 0026624310 scopus 로고
    • Genetic generation of both the weights and architecture for a neural network
    • Seattle, WA: IEEE
    • Koza, J.R. & Rice, J.P. (1991). Genetic generation of both the weights and architecture for a neural network. IEEE international joint conference on neural networks (pp. II-397 - II-404). Seattle, WA: IEEE.
    • (1991) IEEE International Joint Conference on Neural Networks , pp. II397-II404
    • Koza, J.R.1    Rice, J.P.2
  • 93
    • 0023538590 scopus 로고
    • A developmental approach to neural network design
    • M. Caudill & C. Butler (Eds.), San Diego, CA: IEEE
    • Lehar, S. & Weaver, J. (1987). A developmental approach to neural network design. In M. Caudill & C. Butler (Eds.), IEEE international conference on neural networks (pp. 11-97 - 11-104). San Diego, CA: IEEE.
    • (1987) IEEE International Conference on Neural Networks , pp. 1197-11104
    • Lehar, S.1    Weaver, J.2
  • 94
    • 0006189123 scopus 로고
    • Deceptiveness and genetic algorithm dynamics
    • G. Rawlins (Ed.), San Mateo, CA: Morgan K aufmann
    • Liepins, G.E. & Vose, M.D. (1991). Deceptiveness and genetic algorithm dynamics. In G. Rawlins (Ed.), Foundations of genetic algorithms (pp. 36-50). San Mateo, CA: Morgan K aufmann.
    • (1991) Foundations of Genetic Algorithms , pp. 36-50
    • Liepins, G.E.1    Vose, M.D.2
  • 96
    • 0023331258 scopus 로고
    • An introduction to computing with neural nets
    • April
    • Lippmann, R.P. (1987, April). An introduction to computing with neural nets. IEEE ASSP Magazine, pp. 4-22.
    • (1987) IEEE ASSP Magazine , pp. 4-22
    • Lippmann, R.P.1
  • 97
    • 33747270089 scopus 로고
    • Adaptation in constant utility non-stationary environments
    • R.K. Belew & L.B. Booker (Eds.), San Mateo, CA: Morgan Kaufmann
    • Littman, M.L. & Ackley, D.H. (1991). Adaptation in constant utility non-stationary environments. In R.K. Belew & L.B. Booker (Eds.), Fourth international conference on genetic algorithms (pp. 136-142). San Mateo, CA: Morgan Kaufmann.
    • (1991) Fourth International Conference on Genetic Algorithms , pp. 136-142
    • Littman, M.L.1    Ackley, D.H.2
  • 98
    • 85068662298 scopus 로고
    • GENNET - System for computer aided neural network design using genetic algorithms
    • Hillsdale, NJ: Lawrence Erlbaum
    • Marieic, B. & Nikolov, Z. (1990). GENNET - system for computer aided neural network design using genetic algorithms. IEEE international joint conference on neural networks (pp. 1-102-1-105). Hillsdale, NJ: Lawrence Erlbaum.
    • (1990) IEEE International Joint Conference on Neural Networks , pp. 1102-1105
    • Marieic, B.1    Nikolov, Z.2
  • 99
    • 85068652564 scopus 로고
    • Genetically generated neural networks 11: Searching for an optimal representation
    • Baltimore, MD: IEEE
    • Mart, L. (1992a). Genetically generated neural networks 11: Searching for an optimal representation. IEEE international joint conference on neural networks (pp. 11-221-11-226). Baltimore, MD: IEEE.
    • (1992) IEEE International Joint Conference on Neural Networks , pp. 11221-11226
    • Mart, L.1
  • 100
    • 85132276380 scopus 로고    scopus 로고
    • Genetically generated neural networks I: Representational effects
    • 199213 Baltimore, MD: IEEE
    • Mart, L. (199213). Genetically generated neural networks I: Representational effects ZEEE international joint conference on neural networks (pp. IV-537 - IV-542). Baltimore, MD: IEEE.
    • ZEEE International Joint Conference on Neural Networks , pp. IV537-IV542
    • Mart, L.1
  • 101
    • 51249194645 scopus 로고
    • A logical calculus of ideas imminent in nervous activity
    • McCulloch, W.S. & Pitts, W. (1943). A logical calculus of ideas imminent in nervous activity Bulletin Mathematical Biophysics, 5, 115-133
    • (1943) Bulletin Mathematical Biophysics , vol.5 , pp. 115-133
    • McCulloch, W.S.1    Pitts, W.2
  • 102
    • 0000743347 scopus 로고
    • Designing neural networks using genetic algorithms
    • J.D. Schaffer (Ed.), San Mateo, CA: Morgan Kaufmann
    • Miller, G.F., Todd, P.M. & Hegde, S.U. (1989). Designing neural networks using genetic algorithms. In J.D. Schaffer (Ed.), Third international conference on genetic algorithms (pp. 379-384). San Mateo, CA: Morgan Kaufmann.
    • (1989) Third International Conference on Genetic Algorithms , pp. 379-384
    • Miller, G.F.1    Todd, P.M.2    Hegde, S.U.3
  • 106
    • 0025491385 scopus 로고
    • A boltzman machine for the optimization of intelligent machines
    • September-October
    • Moed, M.C. & Saridis, G.N. (1990, September-October). A boltzman machine for the optimization of intelligent machines. IEEE Transactions on Systems Man and Cybernetics 29 (5), 1094-1102.
    • (1990) IEEE Transactions on Systems Man and Cybernetics , vol.29 , Issue.5 , pp. 1094-1102
    • Moed, M.C.1    Saridis, G.N.2
  • 109
    • 0003100022 scopus 로고
    • Automated parameter tuning for interpretation of synthetic images
    • L. Davis (Ed.), New York: Van Nostrand Reinhold
    • Montana, D.J. (1991). Automated parameter tuning for interpretation of synthetic images. In L. Davis (Ed.), Handbook of genetic algorithms (pp. 282-311). New York: Van Nostrand Reinhold.
    • (1991) Handbook of Genetic Algorithms , pp. 282-311
    • Montana, D.J.1
  • 110
    • 0007752028 scopus 로고
    • The dynamics of evolution and learning - Towards genetic neural networks
    • R. Pfeifer, Z. Schreter, F. Fogelman-Soulie & L. Steels (Eds.), Amsterdam: Elsevier Science Publishers B.V. (North-Holland)
    • Miihlenbein, H. & Kindermann, J. (1989). The dynamics of evolution and learning - Towards genetic neural networks. In R. Pfeifer, Z. Schreter, F. Fogelman-Soulie & L. Steels (Eds.), Connectionism in perspective (pp. 173-197). Amsterdam: Elsevier Science Publishers B.V. (North-Holland).
    • (1989) Connectionism in Perspective , pp. 173-197
    • Miihlenbein, H.1    Kindermann, J.2
  • 112
    • 0025587578 scopus 로고
    • Modular neural networks and distributed adaptive search for traveling salesman algorithms
    • Nygard, K.E. & Kadaba, N. (1990). Modular neural networks and distributed adaptive search for traveling salesman algorithms. Proceedings of the SPIE, 1294, 442-451.
    • (1990) Proceedings of the SPIE , vol.1294 , pp. 442-451
    • Nygard, K.E.1    Kadaba, N.2
  • 115
    • 0003631985 scopus 로고
    • Unpublished doctoral dissertation, University of Edinburgh, Edinburgh, Scotland
    • Radcliffe, N.J. (1990). Genetic neural networks on MIMD computers. Unpublished doctoral dissertation, University of Edinburgh, Edinburgh, Scotland.
    • (1990) Genetic Neural Networks on MIMD Computers
    • Radcliffe, N.J.1
  • 117
    • 0001614757 scopus 로고
    • The evolution strategy. A mathematical model of Darwinian evolution
    • E. Frehland (Ed.), Berlin: Springer-Verlag
    • Rechenberg, I. (1984). The evolution strategy. A mathematical model of Darwinian evolution. In E. Frehland (Ed.), Synergetics - From microscopic to macroscopic order (pp. 122-132). Berlin: Springer-Verlag.
    • (1984) Synergetics - From Microscopic to Macroscopic Order , pp. 122-132
    • Rechenberg, I.1
  • 119
    • 79960727073 scopus 로고
    • Genetic algorithms and the design of artificial neural networks
    • November
    • Reeves, C. & Steele, N. (1991, November). Genetic algorithms and the design of artificial neural networks. Microarch, 6(1), 15-20.
    • (1991) Microarch , vol.6 , Issue.1 , pp. 15-20
    • Reeves, C.1    Steele, N.2
  • 120
    • 11144273669 scopus 로고
    • The perceptron: A probabilistic model for information storage and organization in the brain
    • Rosenblatt, F. (1958). The perceptron: A probabilistic model for information storage and organization in the brain. Psychological Review, 65, 386-407.
    • (1958) Psychological Review , vol.65 , pp. 386-407
    • Rosenblatt, F.1
  • 123
    • 0001439044 scopus 로고
    • Using genetic search to exploit the emergent behavior of neural networks
    • S. Forrest (Ed.), Amsterdam: North Holland
    • Schaffer, J.D., Caruana, R.A. & Eshelman, L.J. (1990). Using genetic search to exploit the emergent behavior of neural networks. In S. Forrest (Ed.), Emergent computation (pp. 244-248). Amsterdam: North Holland.
    • (1990) Emergent Computation , pp. 244-248
    • Schaffer, J.D.1    Caruana, R.A.2    Eshelman, L.J.3
  • 124
    • 0003462763 scopus 로고
    • On crossover as an evolutionarily viable strategy
    • R.K. Belew & L.B. Booker (Eds.), San Mateo, CA: Morgan Kaufmann
    • Schaffer, J.D. & Eshelman, L.J. (1991). On crossover as an evolutionarily viable strategy In R.K. Belew & L.B. Booker (Eds.), Fourth international conference on genetic algorithms (pp. 61-68). San Mateo, CA: Morgan Kaufmann.
    • (1991) Fourth International Conference on Genetic Algorithms , pp. 61-68
    • Schaffer, J.D.1    Eshelman, L.J.2
  • 125
    • 0001686053 scopus 로고
    • Spurious correlations and premature convergence in genetic algorithms
    • G. Rawlins (Ed.), San Mateo, CA: Morgan Kaufmann
    • Schaffer, J.D., Eshelman, L.J. & Offutt, D. (1991). Spurious correlations and premature convergence in genetic algorithms. In G. Rawlins (Ed.), Foundations of genetic algorithms (pp. 102-112). San Mateo, CA: Morgan Kaufmann.
    • (1991) Foundations of Genetic Algorithms , pp. 102-112
    • Schaffer, J.D.1    Eshelman, L.J.2    Offutt, D.3
  • 126
    • 0342930231 scopus 로고
    • Genetic generation of backpropagation trained neural networks
    • R. Eckmiller, G. Hartmann & G. Hauske (Eds.), Amsterdam: Elsevier Science Publishers
    • Schiffmann, W. & Mecklenburg, K. (1990). Genetic generation of backpropagation trained neural networks. In R. Eckmiller, G. Hartmann & G. Hauske (Eds.), Parallel processing in neural systems and computers (pp. 205-208). Amsterdam: Elsevier Science Publishers.
    • (1990) Parallel Processing in Neural Systems and Computers , pp. 205-208
    • Schiffmann, W.1    Mecklenburg, K.2
  • 127
    • 33847526940 scopus 로고
    • Performance evaluation of evolutionarily created neural network topologies
    • H.-P. Schwefel & R. Manner (Eds.), Berlin: Springer-Verlag
    • Schiffmann, W., Joost, M. & Werner, R. (1991). Performance evaluation of evolutionarily created neural network topologies. In H.-P. Schwefel & R. Manner (Eds.), Parallel problem solving from nature (pp. 274-283). Berlin: Springer-Verlag.
    • (1991) Parallel Problem Solving from Nature , pp. 274-283
    • Schiffmann, W.1    Joost, M.2    Werner, R.3
  • 129
    • 0005945272 scopus 로고
    • A learning strategy for neural networks based on a modified evolutionary strategy
    • H.-P. Schwefel & R. Manner (Eds.), Berlin: Springer-Verlag
    • Scholz, M. (1991). A learning strategy for neural networks based on a modified evolutionary strategy. In H.-P. Schwefel & R. Manner (Eds.), Parallel problem solving from nature (pp. 314-318). Berlin: Springer-Verlag.
    • (1991) Parallel Problem Solving from Nature , pp. 314-318
    • Scholz, M.1
  • 131
    • 85083945573 scopus 로고
    • Using evolutionary neural networks for arterial waveform discrimination
    • Seattle, WA: IEEE
    • Sebald, A.V. & Fogel, D.B. (1991). Using evolutionary neural networks for arterial waveform discrimination. IEEE international joint conference on neural networks (pp. 11-A-955) Seattle, WA: IEEE.
    • (1991) IEEE International Joint Conference on Neural Networks , pp. 11A955
    • Sebald, A.V.1    Fogel, D.B.2
  • 134
    • 85083947086 scopus 로고
    • The Guelph Darwin project: The evolution of neural networks by genetic algorithms
    • Seattle, WA: IEEE
    • Stacey, D.A. & Kremer, S. (1991). The Guelph Darwin project: The evolution of neural networks by genetic algorithms. IEEE international joint conference on neural networks (pp. 11-A-957) Seattle, WA: IEEE.
    • (1991) IEEE International Joint Conference on Neural Networks , pp. 11A957
    • Stacey, D.A.1    Kremer, S.2
  • 135
    • 0002881568 scopus 로고    scopus 로고
    • Uniform crossover in genetic algorithms
    • R.K. Belew & L.B. Booker (Eds.), San Mateo, CA: Morgan Kaufmann
    • Syswerda, G. Uniform crossover in genetic algorithms. In R.K. Belew & L.B. Booker (Eds.), Fourth international conference on genetic algorithms (pp. 2-9). San Mateo, CA: Morgan Kaufmann.
    • Fourth International Conference on Genetic Algorithms , pp. 2-9
    • Syswerda, G.1
  • 136
    • 77951146033 scopus 로고
    • An approach to the analysis of the basins of the associative memory model using genetic algorithms
    • R.K. Belew & L.B. Booker (Eds.), San Mateo, CA: Morgan Kaufmann
    • Suzuki, K. & Kakazu, Y. (1991). An approach to the analysis of the basins of the associative memory model using genetic algorithms In R.K. Belew & L.B. Booker (Eds.), Fourth international conference on genetic algorithms (pp. 539-546). San Mateo, CA: Morgan Kaufmann.
    • (1991) Fourth International Conference on Genetic Algorithms , pp. 539-546
    • Suzuki, K.1    Kakazu, Y.2
  • 138
    • 0011658285 scopus 로고
    • Exploring adaptive agency 111: Simulating the evolution of habituation and sensitization
    • H.-P. Schwefel & R. Manner (Eds.), Berlin: Springer-Verlag
    • Todd, P.M. & Miller, G.F. (1991). Exploring adaptive agency 111: Simulating the evolution of habituation and sensitization. In H.-P. Schwefel & R. Manner (Eds.), Parallel problem solving from nature (pp. 307-313). Berlin: Springer-Verlag.
    • (1991) Parallel Problem Solving from Nature , pp. 307-313
    • Todd, P.M.1    Miller, G.F.2
  • 139
    • 0003380928 scopus 로고
    • Temporal processing with recurrent networks: An evolutionary approach
    • R.K. Belew & L.B. Booker (Eds.), San Mateo, CA: Morgan Kaufmann
    • Torreele, J. (1991). Temporal processing with recurrent networks: An evolutionary approach. In R.K. Belew & L.B. Booker (Eds.), Fourth international conference on genetic algorithms (pp. 555-561). San Mateo, CA: Morgan Kaufmann.
    • (1991) Fourth International Conference on Genetic Algorithms , pp. 555-561
    • Torreele, J.1
  • 140
    • 0003323760 scopus 로고
    • A bioreactor benchmark for adaptive network-based process control
    • T. Miller, R. Sutton and P. Werbos (Eds.), Cambridge, MA: MIT Press
    • Ungar, L.H. (1990). A bioreactor benchmark for adaptive network-based process control. In T. Miller, R. Sutton and P. Werbos (Eds.), Neural Networks for Control (pp. 387-402). Cambridge, MA: MIT Press.
    • (1990) Neural Networks for Control , pp. 387-402
    • Ungar, L.H.1
  • 143
    • 85068666348 scopus 로고
    • Genetic algorithm applications: Neural nets, traveling salesmen and schedules
    • J. Alexander (Ed.), Denver, CO: Rocky Mountain Conference on AI
    • Whitley, D. (1989b). Genetic algorithm applications: Neural nets, traveling salesmen and schedules. In J. Alexander (Ed.), Proceedings of the 1989 Rocky Mountain Conference on Artificial Intelligence (pp. 207-216). Denver, CO: Rocky Mountain Conference on AI.
    • (1989) Proceedings of the 1989 Rocky Mountain Conference on Artificial Intelligence , pp. 207-216
    • Whitley, D.1
  • 145
    • 0025477595 scopus 로고
    • Genetic algorithms and neural networks: Optimizing connections and connectivity
    • Whitley, D., Starkweather, T. & Bogart, C. (1990). Genetic algorithms and neural networks: Optimizing connections and connectivity. Parallel Computing, 14, 347-361.
    • (1990) Parallel Computing , vol.14 , pp. 347-361
    • Whitley, D.1    Starkweather, T.2    Bogart, C.3
  • 146
    • 0347939147 scopus 로고
    • Genetic reinforcement learning with multilayer neural networks
    • R.K. Belew & L.B. Booker (Eds.), San Mateo, CA: Morgan Kaufmann
    • Whitley, D., Dominic, S. & Das, R. (1991). Genetic reinforcement learning with multilayer neural networks. In R.K. Belew & L.B. Booker (Eds.), Fourth international conference on genetic algorithms (pp. 562-569). San Mateo, CA: Morgan Kaufmann.
    • (1991) Fourth International Conference on Genetic Algorithms , pp. 562-569
    • Whitley, D.1    Dominic, S.2    Das, R.3
  • 147
  • 148
    • 0041624767 scopus 로고
    • Evolving controls for unstable systems
    • D.S. Touretsky, J.L. Elman, T.J Sejnowski & G.E. Hinton (Eds.). San Mateo, CA: Morgan Kaufmann
    • Wieland, A.P. (1990). Evolving controls for unstable systems. In D.S. Touretsky, J.L. Elman, T.J Sejnowski & G.E. Hinton (Eds.) Proceedings of the 1990 connectionist models summer school (pp. 91-102). San Mateo, CA: Morgan Kaufmann.
    • (1990) Proceedings of the 1990 Connectionist Models Summer School , pp. 91-102
    • Wieland, A.P.1
  • 149
    • 0010920330 scopus 로고
    • Evolving neural network controllers for unstable systems
    • Seattle, WA: IEEE
    • Wieland, A.P. (1991). Evolving neural network controllers for unstable systems. IEEE international joint conference on neural networks (pp. 11-667 - 11-673). Seattle, WA: IEEE.
    • (1991) IEEE International Joint Conference on Neural Networks , pp. 11667-11673
    • Wieland, A.P.1
  • 150
    • 3042994191 scopus 로고
    • Perceptron redux: Emergence of structure
    • S. Forrest (Ed.), Amsterdam: North Holland
    • Wilson, S.W. (1990). Perceptron redux: Emergence of structure. In S. Forrest (Ed.), Emergent Computation (pp. 249-256). Amsterdam: North Holland.
    • (1990) Emergent Computation , pp. 249-256
    • Wilson, S.W.1
  • 151
    • 84935370733 scopus 로고
    • Comparing learning paradigms via diagramatic visualization: A case study in single concept learning using symbolic, neural net and genetic algorithm methods
    • W.R. Zbigniew, M. Zemankova & M.L. Emrich (Eds.), New York: Elsevier Science Publishing
    • Wnek, J., Sarma, J., Wahab, A.A. & Michalski, R.S. (1990). Comparing learning paradigms via diagramatic visualization: A case study in single concept learning using symbolic, neural net and genetic algorithm methods. In W.R. Zbigniew, M. Zemankova & M.L. Emrich (Eds.), Methodologies for intelligent systems, 5 (pp. 428-437). New York: Elsevier Science Publishing.
    • (1990) Methodologies for Intelligent Systems , vol.5 , pp. 428-437
    • Wnek, J.1    Sarma, J.2    Wahab, A.A.3    Michalski, R.S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.