现代制造工程Issue(11)：49-53,108,6.
采用遗传算法的混流装配线平衡多目标优化
Multi-objective optimization for mixed-model assembly line balancing problem based on GA
摘要
Abstract
To minimize the cycle time of mixed-model assembly lines,a genetic algorithm based approach to the mixed-model assembly line balancing problem of type II was studied, with the number of operators has been given. Balancing weighted average workload and minimum of the cycle time were proposed as the objectives of the mathematical programming model. A genetic algorithm was used to solve this model. By uniting the magnitude of the optimization objectives, the process of the genetic algorithm was simplified,and the efficiency of the algorithm was improved.关键词
混流装配线/第二类平衡问题/多目标优化/遗传算法Key words
mixed-model assembly line/balancing problem of type II /multi-objective optimization/Genetic Algorithm(GA)分类
机械制造引用本文复制引用
彭慧,徐克林,侣占华..采用遗传算法的混流装配线平衡多目标优化[J].现代制造工程,2011,(11):49-53,108,6.
