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Volumn 2, Issue , 2004, Pages 1293-1300

On the performance of evolutionary algorithms with life-time adaptation in dynamic fitness landscapes

Author keywords

[No Author keywords available]

Indexed keywords

DYNAMIC FITNESS LANDSCAPES; GLOBAL OPTIMIZATION METHOD; LIFE-TIME ADAPTATION;

EID: 4344661570     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (18)

References (48)
  • 1
    • 0037614064 scopus 로고    scopus 로고
    • PhD thesis, Faculty of Computing, Engineering and Mathematical Sciences, Univ. of the West of England, Bristol, UK
    • N. Krasnogor. Studies on the Theory and Design Space of Memetic Algorithms. PhD thesis, Faculty of Computing, Engineering and Mathematical Sciences, Univ. of the West of England, Bristol, UK, 2002.
    • (2002) Studies on the Theory and Design Space of Memetic Algorithms
    • Krasnogor, N.1
  • 3
    • 0029696197 scopus 로고    scopus 로고
    • A genetic local search algorithm for solving symmetric and asymmetric traveling salesman problems
    • IEEE Press
    • B. Freisleben and P. Merz. A Genetic Local Search Algorithm for Solving Symmetric and Asymmetric Traveling Salesman Problems. In Proc. 1996 IEEE Int. Conf. on Evolutionary Computation, pages 616-621. IEEE Press, 1996.
    • (1996) Proc. 1996 IEEE Int. Conf. on Evolutionary Computation , pp. 616-621
    • Freisleben, B.1    Merz, P.2
  • 5
    • 84901399858 scopus 로고    scopus 로고
    • A comparison of memetic algorithms, tabu search, and ant colonies for the quadratic assignment problem
    • IEEE Press
    • P. Merz and B. Freisleben. A comparison of memetic algorithms, tabu search, and ant colonies for the quadratic assignment problem. In Proc. Congress on Evolutionary Computation, volume 3, pages 2063-2070. IEEE Press, 1999.
    • (1999) Proc. Congress on Evolutionary Computation , vol.3 , pp. 2063-2070
    • Merz, P.1    Freisleben, B.2
  • 7
    • 84878602368 scopus 로고    scopus 로고
    • A new genetic local search algorithm for graph coloring
    • Springer
    • R. Dorne and J.-K. Hao. A new genetic local search algorithm for graph coloring. In Parallel Problem Solving from Nature - PPSN V, pages 745-754. Springer, 1998.
    • (1998) Parallel Problem Solving from Nature - PPSN V , pp. 745-754
    • Dorne, R.1    Hao, J.-K.2
  • 8
    • 0000211184 scopus 로고
    • How learning can guide evolution
    • G. E. Hinton and S. J. Nowlan. How learning can guide evolution. Complex Systems, 1(1):495-502, 1987.
    • (1987) Complex Systems , vol.1 , Issue.1 , pp. 495-502
    • Hinton, G.E.1    Nowlan, S.J.2
  • 9
    • 0000500817 scopus 로고
    • Interactions between learning and evolution
    • C. G. Langton, C. Taylor, J, D. Farmer, and S. Rasmussen, editors, Addison-Wesley
    • D. H. Ackley and M. L. Littman. Interactions between learning and evolution. In C. G. Langton, C. Taylor, J, D. Farmer, and S. Rasmussen, editors, Artificial Life II, pages 487-509. Addison-Wesley, 1992.
    • (1992) Artificial Life II , pp. 487-509
    • Ackley, D.H.1    Littman, M.L.2
  • 10
    • 0000556347 scopus 로고
    • Adding learning to the cellular development of neural networks: Evolution and the baldwin effect
    • F. Gruau and D. Whitley. Adding learning to the cellular development of neural networks: Evolution and the Baldwin effect. Evol. Camp., 1(3):213-233, 1993.
    • (1993) Evol. Camp. , vol.1 , Issue.3 , pp. 213-233
    • Gruau, F.1    Whitley, D.2
  • 11
    • 84977486998 scopus 로고
    • Lamarckian evolution, the baldwin effect and function optimization
    • Y. Davidor and H.-P. Schwefel, editors, Springer
    • D. Whitley, V. S. Gordon, and K. Mathias. Lamarckian evolution, the Baldwin effect and function optimization. In Y. Davidor and H.-P. Schwefel, editors, Parallel Problem Solving from Nature - PPSN III, pages 6-15. Springer, 1994.
    • (1994) Parallel Problem Solving from Nature - PPSN III , pp. 6-15
    • Whitley, D.1    Gordon, V.S.2    Mathias, K.3
  • 12
    • 84944317597 scopus 로고    scopus 로고
    • On the behavior of evolutionary global-local hybrids with dynamic fitness functions
    • Springer
    • R. Eriksson and B. Olsson. On the behavior of evolutionary global-local hybrids with dynamic fitness functions. In Parallel Problem Solving from Nature - PPSN VII, pages 13-22. Springer, 2002.
    • (2002) Parallel Problem Solving from Nature - PPSN VII , pp. 13-22
    • Eriksson, R.1    Olsson, B.2
  • 13
    • 0002130975 scopus 로고    scopus 로고
    • Adaptation toward changing environments: Why Darwinian in nature?
    • P. Husbands and I. Harvey, editors, Cambridge, MA, MIT Press
    • T. Sasaki and M. Tokoro. Adaptation toward changing environments: Why Darwinian in nature? In P. Husbands and I. Harvey, editors, Proc. of the Fourth European Conf. on Artificial Lift, pages 145-153, Cambridge, MA, 1997. MIT Press.
    • (1997) Proc. of the Fourth European Conf. on Artificial Lift , pp. 145-153
    • Sasaki, T.1    Tokoro, M.2
  • 14
    • 2442537273 scopus 로고    scopus 로고
    • Comparison between Lamarckian and Darwinian evolution on a model using neural networks and genetic algorithms
    • T. Sasaki and M. Tokoro. Comparison between Lamarckian and Darwinian evolution on a model using neural networks and genetic algorithms. Knowledge and Information Systems, 2(2):201-222, 2000.
    • (2000) Knowledge and Information Systems , vol.2 , Issue.2 , pp. 201-222
    • Sasaki, T.1    Tokoro, M.2
  • 15
    • 0030153306 scopus 로고    scopus 로고
    • Learning to adapt to changing environments in evolving neural networks
    • S. Nolfi and D. Parisi. Learning to adapt to changing environments in evolving neural networks. Adaptive Behavior, 5(1):75-98, 1996.
    • (1996) Adaptive Behavior , vol.5 , Issue.1 , pp. 75-98
    • Nolfi, S.1    Parisi, D.2
  • 16
    • 0032150930 scopus 로고    scopus 로고
    • Coevolving predator and prey robots: Do "arms races" arise in artificial evolution?
    • S. Nolfi and D. Floreano. Coevolving predator and prey robots: Do "arms races" arise in artificial evolution? Artificial Life, 4(4):311-335, 1998.
    • (1998) Artificial Life , vol.4 , Issue.4 , pp. 311-335
    • Nolfi, S.1    Floreano, D.2
  • 17
    • 84957642308 scopus 로고    scopus 로고
    • Evolving in a changing world
    • Zbigniew W. Raś and Andrzej Skowron, editors, Springer
    • K. A. De Jong. Evolving in a changing world. In Zbigniew W. Raś and Andrzej Skowron, editors, 11th Int. Symposium on Foundations of Intelligent Systems, pages 512-519. Springer, 1999.
    • (1999) 11th Int. Symposium on Foundations of Intelligent Systems , pp. 512-519
    • De Jong, K.A.1
  • 19
    • 0002645923 scopus 로고
    • Nonstationary function optimization using genetic algorithms with dominance and diploidy
    • Lawrence Erlbaum
    • D. E. Goldberg and R. E. Smith. Nonstationary function optimization using genetic algorithms with dominance and diploidy. In 2nd Int. Conf. on Genetic Algorithms, pages 59-68. Lawrence Erlbaum, 1987.
    • (1987) 2nd Int. Conf. on Genetic Algorithms , pp. 59-68
    • Goldberg, D.E.1    Smith, R.E.2
  • 20
    • 0002928380 scopus 로고
    • Nonstationary function optimization using the structured genetic algorithm
    • Elsevier
    • D. Dasgupta and D.R. McGregor. Nonstationary function optimization using the structured genetic algorithm. In Parallel Problem Solving from Nature, pages 145-154. Elsevier, 1992.
    • (1992) Parallel Problem Solving from Nature , pp. 145-154
    • Dasgupta, D.1    McGregor, D.R.2
  • 21
    • 0008004332 scopus 로고
    • A new diploid scheme and dominance change mechanism for non-stationary function optimization
    • Morgan Kaufmann
    • K.P. Ng and K.C. Wong. A new diploid scheme and dominance change mechanism for non-stationary function optimization. In Proc. 6th Int. Conf. on Genetic Algorithms, pages 159-166. Morgan Kaufmann, 1995.
    • (1995) Proc. 6th Int. Conf. on Genetic Algorithms , pp. 159-166
    • Ng, K.P.1    Wong, K.C.2
  • 22
    • 84955558127 scopus 로고    scopus 로고
    • Supporting polyploidy in genetic algorithms using dominance vectors
    • Springer
    • B.S. Hadad and C.F. Eick. Supporting polyploidy in genetic algorithms using dominance vectors. In Evolutionary Programming VI, pages 223-234. Springer, 1997.
    • (1997) Evolutionary Programming VI , pp. 223-234
    • Hadad, B.S.1    Eick, C.F.2
  • 23
    • 0031191224 scopus 로고    scopus 로고
    • Using disruptive selection to maintain diversity in genetic algorithms
    • T. Kuo and S.-Y. Hwang. Using disruptive selection to maintain diversity in genetic algorithms. Applied Intelligence, 7(3):257-267, 1997.
    • (1997) Applied Intelligence , vol.7 , Issue.3 , pp. 257-267
    • Kuo, T.1    Hwang, S.-Y.2
  • 24
    • 0031648378 scopus 로고    scopus 로고
    • Function optimization in non-stationary environment using steady state genetic algorithms with aging of individuals
    • IEEE Press
    • A. Ghosh, S. Tsutsui, and H. Tanaka. Function optimization in non-stationary environment using steady state genetic algorithms with aging of individuals. In Proc. of the 1998 IEEE Int. Conf. on Evolutionary Computation, pages 666-671. IEEE Press, 1998.
    • (1998) Proc. of the 1998 IEEE Int. Conf. on Evolutionary Computation , pp. 666-671
    • Ghosh, A.1    Tsutsui, S.2    Tanaka, H.3
  • 25
    • 84878586211 scopus 로고    scopus 로고
    • A comparison of dominance mechanisms and simple mutation on non-stationary problems
    • Springer
    • J. Lewis, E. Hart, and G. Ritchie. A comparison of dominance mechanisms and simple mutation on non-stationary problems. In Parallel Problem Solving from Nature - PPSN V, pages 139-148. Springer, 1998.
    • (1998) Parallel Problem Solving from Nature - PPSN V , pp. 139-148
    • Lewis, J.1    Hart, E.2    Ritchie, G.3
  • 26
    • 84878544379 scopus 로고    scopus 로고
    • Adaptation to a changing environment by means of the feedback thermodynamical genetic algorithm
    • Springer
    • N. Mori, H. Kita, and Y. Nishikawa. Adaptation to a changing environment by means of the feedback thermodynamical genetic algorithm. In Parallel Problem Solving from Nature - PPSN V, pages 149-158. Springer, 1998.
    • (1998) Parallel Problem Solving from Nature - PPSN V , pp. 149-158
    • Mori, N.1    Kita, H.2    Nishikawa, Y.3
  • 27
    • 0003011391 scopus 로고
    • A promising genetic algorithm approach to job-shop scheduling, re-scheduling, and open-shop scheduling problems
    • Morgan Kaufmann
    • H.-L. Fang, P. Ross, and D. Corne. A promising genetic algorithm approach to job-shop scheduling, re-scheduling, and open-shop scheduling problems. In Proc. 5th Int. Conf. on Genetic Algorithms, pages 375-382. Morgan Kaufmann, 1993.
    • (1993) Proc. 5th Int. Conf. on Genetic Algorithms , pp. 375-382
    • Fang, H.-L.1    Ross, P.2    Corne, D.3
  • 29
    • 0033093715 scopus 로고    scopus 로고
    • Production scheduling and rescheduling with genetic algorithms
    • C. Bierwirth and D.C. Mattfeld. Production scheduling and rescheduling with genetic algorithms. Evolutionary Computation, 7(1):1-17, 1999.
    • (1999) Evolutionary Computation , vol.7 , Issue.1 , pp. 1-17
    • Bierwirth, C.1    Mattfeld, D.C.2
  • 30
    • 0020950618 scopus 로고
    • An analysis of genetic-based pattern tracking and cognitive-based component tracking models of adaptation
    • AAAI Press
    • E. Pettit and K.M. Swigger. An analysis of genetic-based pattern tracking and cognitive-based component tracking models of adaptation. In Proc. National Conf. on Artificial Intelligence, pages 327-332. AAAI Press, 1983.
    • (1983) Proc. National Conf. on Artificial Intelligence , pp. 327-332
    • Pettit, E.1    Swigger, K.M.2
  • 31
    • 67349272907 scopus 로고    scopus 로고
    • A comparative study of steady state and generational genetic algorithms
    • F. Vavak and T.C. Fogarty. A comparative study of steady state and generational genetic algorithms. In Proc. AISB Workshop on Evolutionary Computing, pages 297-304, 1996.
    • (1996) Proc. AISB Workshop on Evolutionary Computing , pp. 297-304
    • Vavak, F.1    Fogarty, T.C.2
  • 34
    • 84947786473 scopus 로고    scopus 로고
    • Optimal mutation and crossover rates for a genetic algorithm operating in a dynamic environment
    • Springer
    • S.A. Stanhope and J.M. Daida. Optimal mutation and crossover rates for a genetic algorithm operating in a dynamic environment. In Evolutionary Programming VII, pages 693-702. Springer, 1998.
    • (1998) Evolutionary Programming VII , pp. 693-702
    • Stanhope, S.A.1    Daida, J.M.2
  • 35
    • 0033180715 scopus 로고    scopus 로고
    • Adaptive walks on time-dependent fitness landscapes
    • C.O. Wilke and T. Martinetz. Adaptive walks on time-dependent fitness landscapes. Physical Review E, 60(2):2154-2159, 1999.
    • (1999) Physical Review E , vol.60 , Issue.2 , pp. 2154-2159
    • Wilke, C.O.1    Martinetz, T.2
  • 37
    • 84957559616 scopus 로고    scopus 로고
    • Adaptation on the evolutionary time scale: A working hypothesis and basic experiments
    • Springer
    • R. Salomon and P. Eggenberger. Adaptation on the evolutionary time scale: A working hypothesis and basic experiments. In 3rd European Conf. on Artificial Evolution, pages 251-262. Springer, 1997.
    • (1997) 3rd European Conf. on Artificial Evolution , pp. 251-262
    • Salomon, R.1    Eggenberger, P.2
  • 38
    • 0031701601 scopus 로고    scopus 로고
    • On the behavior of evolutionary algorithms in dynamic environments
    • IEEE Press
    • T. Bäck. On the behavior of evolutionary algorithms in dynamic environments. In Proc. 5th IEEE Conf. on Evol. Comp., pages 446-451. IEEE Press, 1998.
    • (1998) Proc. 5th IEEE Conf. on Evol. Comp. , pp. 446-451
    • Bäck, T.1
  • 39
    • 84901453819 scopus 로고    scopus 로고
    • Memory enhanced evolutionary algorithms for changing optimization problems
    • IEEE Press
    • J. Branke. Memory enhanced evolutionary algorithms for changing optimization problems. In Proc. Congr. on Evolutionary Computation, volume 3, pages 1875-1882. IEEE Press, 1999.
    • (1999) Proc. Congr. on Evolutionary Computation , vol.3 , pp. 1875-1882
    • Branke, J.1
  • 40
    • 0001704031 scopus 로고    scopus 로고
    • Evolvability in dynamic fitness landscapes: A genetic algorithm approach
    • IEEE Press, [82]
    • J.J. Grefenstette. Evolvability in dynamic fitness landscapes: A genetic algorithm approach. In Proc. of the Congress on Evolutionary Computation, pages 652-659. IEEE Press, 1999. [82].
    • (1999) Proc. of the Congress on Evolutionary Computation , pp. 652-659
    • Grefenstette, J.J.1
  • 41
    • 84901468265 scopus 로고    scopus 로고
    • A test problem generator for non-stationary environments
    • IEEE Press
    • R.W. Morrison and K.A. De Jong. A test problem generator for non-stationary environments. In Proc. Congress on Evolutionary Computation, volume 3, pages 2047-2053. IEEE Press, 1999.
    • (1999) Proc. Congress on Evolutionary Computation , vol.3 , pp. 2047-2053
    • Morrison, R.W.1    De Jong, K.A.2
  • 44
    • 0000893858 scopus 로고
    • Genetic algorithms for changing environments
    • North Holland
    • J.J. Grefenstette. Genetic algorithms for changing environments. In Parallel Problem Solving from Nature, pages 137-144. North Holland, 1992.
    • (1992) Parallel Problem Solving from Nature , pp. 137-144
    • Grefenstette, J.J.1
  • 45
    • 4644293749 scopus 로고    scopus 로고
    • A comparison of selection schemes used in evolutionary algorithms
    • T. Blickle and L. Thiele. A comparison of selection schemes used in evolutionary algorithms. Evol. Comp., 4(4):361-394, 1997.
    • (1997) Evol. Comp. , vol.4 , Issue.4 , pp. 361-394
    • Blickle, T.1    Thiele, L.2


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