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基于GASA算法的提前或拖期问题优化
The Application of GASA to the Optimization of Earliness/Tardiness Problem
【摘要】 针对企业生产的提前 /拖期问题,提出了提前 /拖期问题的数学模型,在此基础上,利用GASA混合优化策略优化之,既保留了传统遗传算法能很快达到最优值领域的优点,又通过结合模拟退火算法大大改善传统遗传算法在后期的收敛性。
【Abstract】 In this paper ,the mathematical model of E/T (Earliness/Tardiness ) problem is established .Based on this model, the paper solves the E/T production plan by GASA and simulates it on computer. The GASA method retains the advantage of the traditional genetic algorithm,which can arrive the sphere of the optimum values rapidly,and by improves the convergence of the traditional genetic algorithm,combining the simulated annealing algorithm.
【关键词】 准时生产;
生产计划;
遗传算法;
提前/拖期问题;
【Key words】 just in time(JIT); production plan; genetic algorithm; earliness/tardiness problem;
【Key words】 just in time(JIT); production plan; genetic algorithm; earliness/tardiness problem;
- 【文献出处】 黄石高等专科学校学报 ,Journal of Huangshi Polytechnic College , 编辑部邮箱 ,2004年06期
- 【分类号】F224
- 【下载频次】50