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Volumn 3019, Issue , 2004, Pages 544-551

Multiple-deme parallel estimation of distribution algorithms: Basic framework and application

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ESTIMATION; EVOLUTIONARY ALGORITHMS; GENETIC ALGORITHMS; HEURISTIC ALGORITHMS; KNOWLEDGE ENGINEERING;

EID: 27144502221     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-24669-5_71     Document Type: Article
Times cited : (17)

References (9)
  • 4
    • 0003738581 scopus 로고    scopus 로고
    • Linkage Learning via Probabilistic Modeling in the ECGA
    • University of Illinois at Urbana-Champaign, Illinois Genetic Algorithms Laboratory, Urbana, IL
    • G. Harik, "Linkage Learning via Probabilistic Modeling in the ECGA," IlliGAL Technical Report No. 99010, University of Illinois at Urbana-Champaign, Illinois Genetic Algorithms Laboratory, Urbana, IL, 1999.
    • (1999) IlliGAL Technical Report No. 99010
    • Harik, G.1
  • 5
    • 0003984832 scopus 로고
    • Population-based Incremental Learning: A Method for Integrating Genetic Search Based Function Optimization and Competitive Learning
    • Carnegie Mellon University, Pittsburgh, PA
    • S. Baluja, "Population-based Incremental Learning: A Method for Integrating Genetic Search Based Function Optimization and Competitive Learning," Technical Report No. CMU-CS-94-163, Carnegie Mellon University, Pittsburgh, PA, 1994.
    • (1994) Technical Report No. CMU-CS-94-163
    • Baluja, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.