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Multi-Objective Genetic Algorithm to Design Manufacturing Process Line Including Feasible and Infeasible Solutions in Neighborhood

Multi-Objective Genetic Algorithm to Design Manufacturing Process Line Including Feasible and Infeasible Solutions in Neighborhood
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出处 《Journal of Mathematics and System Science》 2014年第4期209-219,共11页 数学和系统科学(英文版)
关键词 多目标遗传算法 过程设计 工艺路线 生产力 邻居 PARETO解 多目标进化算法 目标函数值 Process design, process line, feasible and infeasible solution, multi-objective genetic algorithm, mix production simulation
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参考文献6

  • 1Ilker Baybars. A survey of exact algorithms for the simple assembly line balancing problem, Management Science, 32(8), (1986) 909-932.
  • 2Adil Baykasoglu. Multi-rule multi-objective simulated annealing algorithm for straight and U type assembly line balancing problems. Journal of Intelligent Manufacturing, 17(2), (2006) 217-232.
  • 3Soumen Ghosh, and Roger J. Gagnon. A comprehensive literature review and analysis of the design, balancing and scheduling of assembly systems, International Journal of Production Research, 27(4), (1989) 637-670.
  • 4Marc Peeters, and Zeger Degraeve. An linear programming based lower bound for the simple assembly line balancing problem. European Journal of Operational Research, 168(3), (2006) 716-731.
  • 5Seren Ozmehmet Tasan, and Semra Tunali. A review of the current applications of genetic algorithms in assembly line balancing, Journal of Intelligent Manufacturing, 19(1), (2008) 49-69.
  • 6W. B. Helgeson, and D. P. Birnie. Assembly line balancing using the ranked positional weight t echnique. Journal oflndustrial Engineering, 12(6), (1961) 394-398.

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