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Volumn 4446 LNCS, Issue , 2007, Pages 210-218

A new grouping genetic algorithm for the quadratic multiple knapsack problem

Author keywords

Combinatorial optimization; Grouping genetic algorithm; Knapsack problem; Quadratic multiple knapsack problem

Indexed keywords

COMBINATORIAL OPTIMIZATION; GENETIC ALGORITHMS;

EID: 38049050765     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-71615-0_19     Document Type: Conference Paper
Times cited : (25)

References (9)
  • 4
    • 32444436258 scopus 로고    scopus 로고
    • An Evolutionary Lagrangian Method for the 0/1 Multiple Knapsack Problem
    • ACM Press, New York
    • Yoon, Y., Kim, Y.H., Moon B.R.: An Evolutionary Lagrangian Method for the 0/1 Multiple Knapsack Problem. Proceedings of the GECCO-2005, ACM Press, New York (2005), 629-635
    • (2005) Proceedings of the GECCO-2005 , pp. 629-635
    • Yoon, Y.1    Kim, Y.H.2    Moon, B.R.3
  • 5
    • 33750255474 scopus 로고    scopus 로고
    • The Quadratic Multiple Knapsack Problem and Three Heuristic Approaches to it
    • ACM Press, New York
    • Hiley, A., Julstrom, B.A.: The Quadratic Multiple Knapsack Problem and Three Heuristic Approaches to it. Proceedings of the GECCO-2006, ACM Press, New York (2006), 547-552
    • (2006) Proceedings of the GECCO-2006 , pp. 547-552
    • Hiley, A.1    Julstrom, B.A.2
  • 6
    • 0000016367 scopus 로고
    • New Representations and Operators for GAs Applied to Grouping Problems
    • Falkenauer, E.: New Representations and Operators for GAs Applied to Grouping Problems. Evolutionary Computation 2 (1992), 123-144
    • (1992) Evolutionary Computation , vol.2 , pp. 123-144
    • Falkenauer, E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.