메뉴 건너뛰기




Volumn 15, Issue 10, 2002, Pages 1259-1278

Multi-objective cooperative coevolution of artificial neural networks (multi-objective cooperative networks)

Author keywords

Automatic neural network design; Cooperative coevolution; Evolutionary computation; Multi objective optimization; Topology evolution

Indexed keywords

COMPUTATIONAL METHODS; OPTIMIZATION; PERFORMANCE; TOPOLOGY;

EID: 0036887498     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0893-6080(02)00095-3     Document Type: Article
Times cited : (96)

References (80)
  • 3
    • 0000716606 scopus 로고
    • Book review on neural network design and the complexity of learning
    • Baum E.B. Book review on neural network design and the complexity of learning. IEEE Transactions on Neural Networks. 2:1991;181-182.
    • (1991) IEEE Transactions on Neural Networks , vol.2 , pp. 181-182
    • Baum, E.B.1
  • 4
    • 0001160588 scopus 로고
    • What net size gives valid generalization?
    • Baum E.B., Haussler D. What net size gives valid generalization? Neural Computation. 1:1989;151-160.
    • (1989) Neural Computation , vol.1 , pp. 151-160
    • Baum, E.B.1    Haussler, D.2
  • 6
    • 0031281425 scopus 로고    scopus 로고
    • Coupling weight elimination with genetic algorithms to reduce network size and preserve generalization
    • Bebis G., Georgiopoulos M., Kasparis T. Coupling weight elimination with genetic algorithms to reduce network size and preserve generalization. Neurocomputing. 17:1997;167-194.
    • (1997) Neurocomputing , vol.17 , pp. 167-194
    • Bebis, G.1    Georgiopoulos, M.2    Kasparis, T.3
  • 8
    • 0026453958 scopus 로고
    • Training a 3-node neural network is NP-complete
    • Blum A.L., Rivest R.L. Training a 3-node neural network is NP-complete. Neural Networks. 5:1992;117-127.
    • (1992) Neural Networks , vol.5 , pp. 117-127
    • Blum, A.L.1    Rivest, R.L.2
  • 9
  • 10
  • 12
    • 0032205828 scopus 로고    scopus 로고
    • Evolutionary learning of modular neural networks with genetic programming
    • Cho S.-B., Shimohara K. Evolutionary learning of modular neural networks with genetic programming. Applied Intelligence. 9:1998;191-200.
    • (1998) Applied Intelligence , vol.9 , pp. 191-200
    • Cho, S.-B.1    Shimohara, K.2
  • 13
    • 0024861871 scopus 로고
    • Approximation by superpositions of a sigmoidal function
    • Cybenko G. Approximation by superpositions of a sigmoidal function. Mathematics of Control, Signals, and Systems. 2:1989;303-314.
    • (1989) Mathematics of Control, Signals, and Systems , vol.2 , pp. 303-314
    • Cybenko, G.1
  • 15
    • 0002284602 scopus 로고
    • An investigation of niche and species formation in genetic function optimization
    • J.D. Schaffer. Los Altos, CA: Morgan Kaufmann
    • Deb K., Goldberg D.E. An investigation of niche and species formation in genetic function optimization. Schaffer J.D., Proceedings of the Third International Conference on Genetic Algorithms. 1989;42-50 Morgan Kaufmann, Los Altos, CA.
    • (1989) Proceedings of the Third International Conference on Genetic Algorithms , pp. 42-50
    • Deb, K.1    Goldberg, D.E.2
  • 19
    • 0027294340 scopus 로고
    • Improving model selection by nonconvergent methods
    • Finnoff W., Hergert F., Zimmermann H.G. Improving model selection by nonconvergent methods. Neural Networks. 6:1993;771-783.
    • (1993) Neural Networks , vol.6 , pp. 771-783
    • Finnoff, W.1    Hergert, F.2    Zimmermann, H.G.3
  • 20
    • 0001953837 scopus 로고
    • Genetic algorithms for multi-objective optimization: Formulation, discussion, and generalization
    • S. Forrest. Urbana, IL: Morgan Kauffman
    • Fonseca C.M., Flemming P.J. Genetic algorithms for multi-objective optimization: Formulation, discussion, and generalization. Forrest S., Proceedings of the Fifth International Conference on Genetic Algorithms. 1993;416-423 Morgan Kauffman, Urbana, IL.
    • (1993) Proceedings of the Fifth International Conference on Genetic Algorithms , pp. 416-423
    • Fonseca, C.M.1    Flemming, P.J.2
  • 21
    • 0002629429 scopus 로고
    • An overview of evolutionary algorithms in multi-objective optimization
    • Fonseca C.M., Flemming P.J. An overview of evolutionary algorithms in multi-objective optimization. Evolutionary Computation. 3:(1):1995;1-16.
    • (1995) Evolutionary Computation , vol.3 , Issue.1 , pp. 1-16
    • Fonseca, C.M.1    Flemming, P.J.2
  • 22
    • 45949090498 scopus 로고    scopus 로고
    • Symbiont: A cooperative evolutionary model for evolving artificial neural networks for classification
    • B. Bouchon-Meunier, J. Gutiérrez-Ríos, L. Magdalena, & R.R. Yager. Berlin: Springer
    • García-Pedrajas N., Hervás-Martínez C., Muñoz-Pérez J. Symbiont: A cooperative evolutionary model for evolving artificial neural networks for classification. Bouchon-Meunier B., Gutiérrez-Ríos J., Magdalena L., Yager R.R., Technologies for constructing intelligent systems. Vol. 2:2001;341-354 Springer, Berlin.
    • (2001) Technologies for Constructing Intelligent Systems , vol.2 , pp. 341-354
    • García-Pedrajas, N.1    Hervás-Martínez, C.2    Muñoz-Pérez, J.3
  • 24
    • 0000662737 scopus 로고    scopus 로고
    • Search-intensive concept induction
    • Giordana A., Neri F. Search-intensive concept induction. Evolutionary Computation. 3:(4):1996;375-416.
    • (1996) Evolutionary Computation , vol.3 , Issue.4 , pp. 375-416
    • Giordana, A.1    Neri, F.2
  • 25
    • 0001219859 scopus 로고
    • Regularization theory and neural networks architectures
    • Girosi F., Jones M., Poggio T. Regularization theory and neural networks architectures. Neural Computation. 7:1995;219-269.
    • (1995) Neural Computation , vol.7 , pp. 219-269
    • Girosi, F.1    Jones, M.2    Poggio, T.3
  • 28
    • 0031214394 scopus 로고    scopus 로고
    • Regularization with a pruning prior
    • Goutte C., Hansen L.K. Regularization with a pruning prior. Neural Networks. 10:(6):1997;1053-1059.
    • (1997) Neural Networks , vol.10 , Issue.6 , pp. 1053-1059
    • Goutte, C.1    Hansen, L.K.2
  • 30
    • 84884177055 scopus 로고
    • Genetic algorithms and permutation problems: A comparison of recombination operators for neural net structure specification
    • D. Whitley, & J.D. Schaffer. Los Alamitos, CA: IEEE Computer Society Press
    • Hancock P.J.B. Genetic algorithms and permutation problems: A comparison of recombination operators for neural net structure specification. Whitley D., Schaffer J.D., Proceedings of the International Workshop of Combinations of Genetic Algorithms and Neural Networks (COGANN-92). 1992;108-122 IEEE Computer Society Press, Los Alamitos, CA.
    • (1992) Proceedings of the International Workshop of Combinations of Genetic Algorithms and Neural Networks (COGANN-92) , pp. 108-122
    • Hancock, P.J.B.1
  • 34
    • 0000157651 scopus 로고
    • Co-evolving parasites improves simulated evolution as an optimization technique
    • C.G. Langton, C. Taylor, J.D. Farmer, & S. Rasmussen. Reading, MA: Addison-Wesley
    • Hillis W.D. Co-evolving parasites improves simulated evolution as an optimization technique. Langton C.G., Taylor C., Farmer J.D., Rasmussen S., Artificial life. Vol. ii:1991;313-384 Addison-Wesley, Reading, MA.
    • (1991) Artificial life , vol.2 , pp. 313-384
    • Hillis, W.D.1
  • 35
    • 0002941592 scopus 로고
    • Implicit niching in a learning classifier system: Natures's way
    • Horn J., Goldberg D.E., Deb K. Implicit niching in a learning classifier system: natures's way. Evolutionary Computation. 2:(1):1994;37-66.
    • (1994) Evolutionary Computation , vol.2 , Issue.1 , pp. 37-66
    • Horn, J.1    Goldberg, D.E.2    Deb, K.3
  • 38
    • 0001626107 scopus 로고
    • On the complexity of loading shallow neural networks
    • Judd J.S. On the complexity of loading shallow neural networks. Journal of Complexity. 4:1988;177-192.
    • (1988) Journal of Complexity , vol.4 , pp. 177-192
    • Judd, J.S.1
  • 41
    • 26444479778 scopus 로고
    • Optimization by simulated annealing
    • Kirkpatrick S. Jr., C D.G., Vecchi M.P. Optimization by simulated annealing. Science. 220:1983;671-680.
    • (1983) Science , vol.220 , pp. 671-680
    • Kirkpatrick S., Jr.1    Vecchi, M.P.2
  • 43
    • 0030871138 scopus 로고    scopus 로고
    • Face recognition/detection by probabilistic decision-based neural networks
    • Lin S.-H., Kung S.Y., Lin L.J. Face recognition/detection by probabilistic decision-based neural networks. IEEE Transactions on Neural Networks. 8:(1):1997;114-132.
    • (1997) IEEE Transactions on Neural Networks , vol.8 , Issue.1 , pp. 114-132
    • Lin, S.-H.1    Kung, S.Y.2    Lin, L.J.3
  • 44
    • 0033485370 scopus 로고    scopus 로고
    • Ensemble learning via negative correlation
    • Liu Y., Yao X. Ensemble learning via negative correlation. Neural Networks. 12:(10):1999;1399-1404.
    • (1999) Neural Networks , vol.12 , Issue.10 , pp. 1399-1404
    • Liu, Y.1    Yao, X.2
  • 49
    • 0002318273 scopus 로고    scopus 로고
    • Efficient reinforcement learning through symbiotic evolution
    • Moriarty D.E., Miikkulainen R. Efficient reinforcement learning through symbiotic evolution. Machine Learning. 22:1996;11-32.
    • (1996) Machine Learning , vol.22 , pp. 11-32
    • Moriarty, D.E.1    Miikkulainen, R.2
  • 50
    • 10444270597 scopus 로고    scopus 로고
    • Forming neural networks through efficient and adaptive coevolution
    • Moriarty D.E., Miikkulainen R. Forming neural networks through efficient and adaptive coevolution. Evolutionary Computation. 4:(5):1998.
    • (1998) Evolutionary Computation , vol.4 , Issue.5
    • Moriarty, D.E.1    Miikkulainen, R.2
  • 52
    • 0029311891 scopus 로고
    • Coevolutionary computation
    • Paredis J. Coevolutionary computation. Artificial Life. 2:1995;355-375.
    • (1995) Artificial Life , vol.2 , pp. 355-375
    • Paredis, J.1
  • 53
    • 0034153728 scopus 로고    scopus 로고
    • Cooperative coevolution: An architecture for evolving coadapted subcomponents
    • Potter M.A., Jong K.A. Cooperative coevolution: an architecture for evolving coadapted subcomponents. Evolutionary Computation. 8:(1):2000;1-29.
    • (2000) Evolutionary Computation , vol.8 , Issue.1 , pp. 1-29
    • Potter, M.A.1    Jong, K.A.2
  • 55
    • 0030130727 scopus 로고    scopus 로고
    • A quantitative study of experimental evaluation of neural network learning algorithms
    • Prechelt L. A quantitative study of experimental evaluation of neural network learning algorithms. Neural Networks. 9:1996;457-462.
    • (1996) Neural Networks , vol.9 , pp. 457-462
    • Prechelt, L.1
  • 59
    • 0031082536 scopus 로고    scopus 로고
    • New methods for competitive coevolution
    • Rosin C.D., Belew R.K. New methods for competitive coevolution. Evolutionary Computation. 5:(1):1997;1-29.
    • (1997) Evolutionary Computation , vol.5 , Issue.1 , pp. 1-29
    • Rosin, C.D.1    Belew, R.K.2
  • 63
    • 0030104504 scopus 로고    scopus 로고
    • Global optimization for neural networks training
    • Shang Y., Wah B.W. Global optimization for neural networks training. IEEE Computer. 29:(3):1996;45-54.
    • (1996) IEEE Computer , vol.29 , Issue.3 , pp. 45-54
    • Shang, Y.1    Wah, B.W.2
  • 64
    • 0001311386 scopus 로고
    • Loading deep networks is hard
    • Sima J. Loading deep networks is hard. Neural Computation. 6:(5):1994;842-850.
    • (1994) Neural Computation , vol.6 , Issue.5 , pp. 842-850
    • Sima, J.1
  • 65
    • 0028199284 scopus 로고
    • Combining evolution with credit apportionment: A new learning algorithm for neural nets
    • Smalz R., Conrad M. Combining evolution with credit apportionment: A new learning algorithm for neural nets. Neural Networks. 7:(2):1994;341-351.
    • (1994) Neural Networks , vol.7 , Issue.2 , pp. 341-351
    • Smalz, R.1    Conrad, M.2
  • 66
    • 0004124452 scopus 로고
    • New York, NY: Oxford University Press
    • Smith J.M. Evolutionary genetics. 1989;Oxford University Press, New York, NY.
    • (1989) Evolutionary Genetics
    • Smith, J.M.1
  • 68
    • 0003655277 scopus 로고    scopus 로고
    • Chicago, IL: SPSS Inc.
    • SPSS, I. (1999). SPSS ©9.0 advanced models. Chicago, IL: SPSS Inc.
    • (1999) SPSS ©9.0 Advanced Models
  • 69
    • 0000852513 scopus 로고
    • Multi-objective function optimization using non-dominated sorting genetic algorithms
    • Srinivas N., Deb K. Multi-objective function optimization using non-dominated sorting genetic algorithms. Evolutionary Computation. 2:(3):1994;221-248.
    • (1994) Evolutionary Computation , vol.2 , Issue.3 , pp. 221-248
    • Srinivas, N.1    Deb, K.2
  • 71
    • 0001842954 scopus 로고
    • A study of reproduction in generational and steady-state genetic algorithms
    • G. Rawlins. Los Altos, CA: Morgan Kaufmann
    • Syswerda G. A study of reproduction in generational and steady-state genetic algorithms. Rawlins G., Foundations of genetic algorithms. 1991;94-101 Morgan Kaufmann, Los Altos, CA.
    • (1991) Foundations of Genetic Algorithms , pp. 94-101
    • Syswerda, G.1
  • 72
    • 0030197198 scopus 로고    scopus 로고
    • Cooperative-competitive genetic evolution of radial basis function centers and widths for time series prediction
    • Whitehead B.A., Choate T.D. Cooperative-competitive genetic evolution of radial basis function centers and widths for time series prediction. IEEE Transactions on Neural Networks. 7:(4):1996.
    • (1996) IEEE Transactions on Neural Networks , vol.7 , Issue.4
    • Whitehead, B.A.1    Choate, T.D.2
  • 76
    • 0033362601 scopus 로고    scopus 로고
    • Evolving artificial neural networks
    • Yao X. Evolving artificial neural networks. Proceedings of the IEEE. 9:(87):1999;1423-1447.
    • (1999) Proceedings of the IEEE , vol.9 , Issue.87 , pp. 1423-1447
    • Yao, X.1
  • 77
    • 0031143030 scopus 로고    scopus 로고
    • A new evolutionary system for evolving artificial neural networks
    • Yao X., Liu Y. A new evolutionary system for evolving artificial neural networks. IEEE Transactions on Neural Networks. 8:(3):1997;694-713.
    • (1997) IEEE Transactions on Neural Networks , vol.8 , Issue.3 , pp. 694-713
    • Yao, X.1    Liu, Y.2
  • 80
    • 84878545782 scopus 로고    scopus 로고
    • Multi-objective optimization using evolutionary algorithms - A comparative case study
    • Amsterdam, The Netherlands: Springer
    • Zitzler, E., & Thiele, L. (1998). Multi-objective optimization using evolutionary algorithms - a comparative case study. Problem solving from nature - PPSN V (pp. 292-301). Amsterdam, The Netherlands: Springer.
    • (1998) Problem Solving from Nature - PPSN V , pp. 292-301
    • Zitzler, E.1    Thiele, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.