메뉴 건너뛰기




Volumn 3339, Issue , 2004, Pages 873-885

Sub-structural niching in non-stationary environments

Author keywords

[No Author keywords available]

Indexed keywords

CHROMOSOMES; MATHEMATICAL OPERATORS; PERTURBATION TECHNIQUES; PROBABILITY; PROBLEM SOLVING; THERMODYNAMICS;

EID: 22944483461     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-30549-1_75     Document Type: Conference Paper
Times cited : (6)

References (38)
  • 1
    • 22944470990 scopus 로고    scopus 로고
    • Oiling the wheels of change: The role of adaptive automatic problem decomposition in non-stationary environments
    • University of Illinois, Urbana-Champaign
    • H.A. Abbass, K. Sastry, and D. Goldberg. Oiling the wheels of change: The role of adaptive automatic problem decomposition in non-stationary environments. Technical Report Illigal TR-2004029, University of Illinois, Urbana-Champaign, 2004.
    • (2004) Technical Report Illigal , vol.TR-2004029
    • Abbass, H.A.1    Sastry, K.2    Goldberg, D.3
  • 3
    • 0003984832 scopus 로고
    • Population-based incremental learning: A method for integrating genetic search based function optimization and competitive learning
    • Carnegie Mellon University
    • S. Baluja. Population-based incremental learning: A method for integrating genetic search based function optimization and competitive learning. Technical Report CMU-CS-94-163, Carnegie Mellon University, 1994.
    • (1994) Technical Report , vol.CMU-CS-94-163
    • Baluja, S.1
  • 4
    • 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):1-18, 1999.
    • (1999) Evolutionary Computation , vol.7 , Issue.1 , pp. 1-18
    • Bierwirth, C.1    Mattfeld, D.C.2
  • 9
    • 0003497966 scopus 로고
    • An investigation into the use of hypermutation as an adaptive operator in genetic algorithms having continuous, time-dependent nonstationary environments
    • Naval Research Laboratory
    • H.G. Cobb. An investigation into the use of hypermutation as an adaptive operator in genetic algorithms having continuous, time-dependent nonstationary environments. Technical Report AIC-90-001, Naval Research Laboratory, 1990.
    • (1990) Technical Report , vol.AIC-90-001
    • Cobb, H.G.1
  • 11
    • 0345079632 scopus 로고
    • Incorporating redundancy and gene activation mechanisms in genetic search
    • L. Chambers, editor. CRC Press
    • D. Dasgupta. Incorporating redundancy and gene activation mechanisms in genetic search. In L. Chambers, editor, Practical Handbook of Genetic Algorithms, pages 303-316. CRC Press, 1995.
    • (1995) Practical Handbook of Genetic Algorithms , pp. 303-316
    • Dasgupta, D.1
  • 12
    • 0002671561 scopus 로고
    • Analyzing deception in trap functions
    • Morgan Kaufmann
    • K. Deb and D.E. Goldberg. Analyzing deception in trap functions. Foundations of Genetic Algorithms, pages 93-108. Morgan Kaufmann, 1993.
    • (1993) Foundations of Genetic Algorithms , pp. 93-108
    • Deb, K.1    Goldberg, D.E.2
  • 13
    • 0031648378 scopus 로고    scopus 로고
    • Function optimisation in nonstationary environment using steady state genetic algorithms with aging of individuals
    • IEEE Publishing
    • A. Ghosh, S. Tstutsui, and H. Tanaka. Function optimisation in nonstationary environment using steady state genetic algorithms with aging of individuals. IEEE International Conference on Evolutionary Computation, pages 666-671. IEEE Publishing, 1998.
    • (1998) IEEE International Conference on Evolutionary Computation , pp. 666-671
    • Ghosh, A.1    Tstutsui, S.2    Tanaka, H.3
  • 17
    • 0000904077 scopus 로고
    • Messy genetic algorithms: Motivation, analysis, and first results
    • D.E. Goldberg, B. Korb, and K. Deb. Messy genetic algorithms: motivation, analysis, and first results. Complex Systems, 3(5):493-530, 1989.
    • (1989) Complex Systems , vol.3 , Issue.5 , pp. 493-530
    • Goldberg, D.E.1    Korb, B.2    Deb, K.3
  • 18
    • 0002645923 scopus 로고
    • Nonstationary function optimisation using genetic algorithms with dominance and diploidy
    • Lawrence Erlbaum Associates
    • D.E. Goldberg and R.E. Smith. Nonstationary function optimisation using genetic algorithms with dominance and diploidy. Second International Conference on Genetic Algorithms, pages 59-68. Lawrence Erlbaum Associates, 1987.
    • (1987) Second International Conference on Genetic Algorithms , pp. 59-68
    • Goldberg, D.E.1    Smith, R.E.2
  • 25
    • 22944446990 scopus 로고
    • PhD thesis, University of Illinois at Urbana-Champaign, Urbana, IL
    • S.W. Mahfoud. Bayesian. PhD thesis, University of Illinois at Urbana-Champaign, Urbana, IL, 1995.
    • (1995) Bayesian
    • Mahfoud, S.W.1
  • 28
    • 84958948525 scopus 로고    scopus 로고
    • Adaptation to changing environments by means of the thermodynamical genetic algorithms
    • Proceedings of Parallel Problem Solving from Nature, Berlin. Elsevier Science Publisher
    • N. Mori, H. Kita, and Y. Nishikawa. Adaptation to changing environments by means of the thermodynamical genetic algorithms. Proceedings of Parallel Problem Solving from Nature, volume 1411 of Lecture Notes in Computer Science, pages 513-522, Berlin, 1996. Elsevier Science Publisher.
    • (1996) Lecture Notes in Computer Science , vol.1411 , pp. 513-522
    • Mori, N.1    Kita, H.2    Nishikawa, Y.3
  • 29
    • 0033257616 scopus 로고    scopus 로고
    • Linkage identification by non-monotonicity detection for overlapping functions
    • M. Munetomo and D. Goldberg. Linkage identification by non-monotonicity detection for overlapping functions. Evolutionary Computation, 7(4):377-398, 1999.
    • (1999) Evolutionary Computation , vol.7 , Issue.4 , pp. 377-398
    • Munetomo, M.1    Goldberg, D.2
  • 30
    • 4344642178 scopus 로고    scopus 로고
    • Linkage learning, estimation distribution, and Bayesian networks
    • M. Pelikan, D. E. Goldberg, and E. Cantú-Paz. Linkage learning, estimation distribution, and Bayesian networks. Evolutionary Computation, 8(3):314-341, 2000.
    • (2000) Evolutionary Computation , vol.8 , Issue.3 , pp. 314-341
    • Pelikan, M.1    Goldberg, D.E.2    Cantú-Paz, E.3
  • 32
    • 0001787552 scopus 로고    scopus 로고
    • The bivariate marginal distribution algorithm
    • R. Roy, T. Furuhashi, and P. K. Chawdhry, editors, London. Springer-Verlag
    • M. Pelikan and H. Mühlenbein. The bivariate marginal distribution algorithm. In R. Roy, T. Furuhashi, and P. K. Chawdhry, editors, Advances in Soft Computing - Engineering Design and Manufacturing, pages 521-535, London, 1999. Springer-Verlag.
    • (1999) Advances in Soft Computing - Engineering Design and Manufacturing , pp. 521-535
    • Pelikan, M.1    Mühlenbein, H.2
  • 33
    • 0018015137 scopus 로고
    • Modelling by shortest data description
    • J. J. Rissanen. Modelling by shortest data description. Automatica, 14:465-471, 1978.
    • (1978) Automatica , vol.14 , pp. 465-471
    • Rissanen, J.J.1
  • 34
    • 84856043672 scopus 로고
    • A mathematical theory of communication
    • Claude E. Shannon. A mathematical theory of communication. The Bell System Technical Journal, 27(3):379-423, 1948.
    • (1948) The Bell System Technical Journal , vol.27 , Issue.3 , pp. 379-423
    • Shannon, C.E.1
  • 36
    • 0030654705 scopus 로고    scopus 로고
    • Learning the local search range for genetic optimisation in nonstationary environments
    • IEEE Publishing
    • F. Vavak, K. Jukes, and T.C. Fogarty. Learning the local search range for genetic optimisation in nonstationary environments. In IEEE International Conference on Evolutionary Computation, pages 355-360. IEEE Publishing, 1997.
    • (1997) IEEE International Conference on Evolutionary Computation , pp. 355-360
    • Vavak, F.1    Jukes, K.2    Fogarty, T.C.3
  • 37
    • 2442538832 scopus 로고    scopus 로고
    • A genetic algorithm design inspired by organizational theory: Pilot study of a dependency structure matrix driven genetic algorithm
    • T.-L. Yu, D. E. Goldberg, A. Yassine, and Y.-P. Chen. A genetic algorithm design inspired by organizational theory: Pilot study of a dependency structure matrix driven genetic algorithm. Artificial Neural Networks in Engineering, pages 327-332, 2003.
    • (2003) Artificial Neural Networks in Engineering , pp. 327-332
    • Yu, T.-L.1    Goldberg, D.E.2    Yassine, A.3    Chen, Y.-P.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.