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Volumn 20, Issue , 2013, Pages 83-89

Multi-objective evolutionary algorithm with strong convergence of multi-area for assembly line balancing problem with worker capability

Author keywords

Assembly line balancing; Evolutionary algorithm; Multiobjective optimization; Strong convergence of multi area; Worker capability

Indexed keywords


EID: 84896971016     PISSN: 18770509     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/j.procs.2013.09.243     Document Type: Conference Paper
Times cited : (21)

References (19)
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  • 2
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  • 6
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  • 9
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  • 10
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    • A multiobjective genetic algorithm based approach to assembly line balancing problem with worker allocation
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    • (2008) Journal of Society of Plant Engineers Japan (SOPEJ) , vol.19 , Issue.4 , pp. 207-218
    • Zhang, W.1    Lin, L.2    Gen, M.3
  • 14
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  • 16
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  • 19
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    • Multiobjective evolutionary algorithm for manufacturing scheduling problems: State-of-The-art survey
    • DOI 10.1007/s10845-013-0804-4
    • Gen, M. & Lin, L. (2013). Multiobjective evolutionary algorithm for manufacturing scheduling problems: state-of-the-art survey, Journal of Intelligent Manufacturing, DOI 10.1007/s10845-013-0804-4; 18pp.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.