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Volumn 5821 LNCS, Issue , 2009, Pages 258-268

Novel associative memory retrieving strategies for evolutionary algorithms in dynamic environments

Author keywords

Associative memory; Dynamic optimization problems; Evolutionary algorithms; Memory; Memory retrieving strategy

Indexed keywords

ASSOCIATIVE MEMORIES; DYNAMIC ENVIRONMENTS; DYNAMIC FUNCTIONS; DYNAMIC OPTIMIZATION PROBLEMS; ENVIRONMENTAL INFORMATION; MEMORY; MEMORY RETRIEVING STRATEGY; STATE-OF-THE-ART ALGORITHMS;

EID: 78650689479     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04843-2_28     Document Type: Conference Paper
Times cited : (9)

References (19)
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  • 4
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    • (2007) Genetic Programming and Evolvable Machines , vol.8 , Issue.3 , pp. 255-286
    • Tinós, R.1    Yang, S.2
  • 12
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    • Experimental Study on Population-Based Incremental Learning Algorithms for Dynamic Optimization Problems
    • Yang, S., Yao, X.: Experimental Study on Population-Based Incremental Learning Algorithms for Dynamic Optimization Problems. Soft Computing 9(11), 815-834 (2005)
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    • Yang, S.1    Yao, X.2
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    • Population-Based Incremental Learning with Associative Memory for Dynamic Environments
    • Yang, S., Yao, X.: Population-Based Incremental Learning with Associative Memory for Dynamic Environments. IEEE Transactions on Evolutionary Computation 12(5), 542-561 (2008)
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    • Yang, S.1    Yao, X.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.