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Volumn , Issue , 2005, Pages 1257-1264

Improvements to penalty-based evolutionary algorithms for the multi-dimensional knapsack problem using a gene-based adaptive mutation approach

Author keywords

Adaptive mutation; Genetic algorithms; Multi dimensional knapsack problem; Penalty based constraint handling

Indexed keywords

CONSTRAINT THEORY; GENES; GENETIC ALGORITHMS; OPTIMIZATION; PROBLEM SOLVING;

EID: 32444444616     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1068009.1068214     Document Type: Conference Paper
Times cited : (9)

References (25)
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  • 3
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    • Characterizing locality in decoder-based EAs for the multidimensional knapsack problem
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    • (1999) Proceedings of Artificial Evolution (EA99)
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    • A hybrid approach for the 0-1 multidimensional knapsack problem
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    • Vasquez, M.1    Hao, J.K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.