Combining genetic algorithm and simulation for the mixed-model assembly line balancing problem

Proceedings - Third International Conference on Natural Computation, ICNC 2007

Volumn 4, Issue , 2007, Pages 314-318

  Su, Ping ^a   Lu, Ye ^a  

^a GUANGDONG UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; COMPUTER WORKSTATIONS; MATHEMATICAL MODELS; PROBLEM SOLVING;

CYCLE TIME; MIXED-MODEL ASSEMBLY LINE BALANCING PROBLEMS; WORKLOAD BALANCE;

GENETIC ALGORITHMS;

EID: 38049032916     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNC.2007.306     Document Type: Conference Paper

References (6)

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2. S. Karabati, S. Sayin, Assembly line balancing in a mixed-model sequencing environment with synchronous transfers. European Journal of Operational Research, 149 (2) (2003):417-429.
3. Y. Bukchin, I. Rabinowitch, A branch-and-bound based solution approach for the mixed-model assembly line-balancing problem for minimizing stations and task duplication costs, European Journal of Operational Research, 174(2006): 492-508
4. P. Kouvelis, S. Karabati, Cyclic scheduling in synchronous production lines, HE Transactions, 31 (8) (1999): 709-719.
5. A.S. Simaria, P.M. Vilarinho, A genetic algorithm based approach to the mixed-model assembly line balancing problem of type II, Computers & Industrial Engineering, 47 (2004): 391-407
6. Z. Michalewicz, Genetic Algorithms + Data Structures = Evolution Programs. Springer, New York (1996).