A new method for solving the open shop scheduling using imperialist competitive algorithm and tabu search with regard to maintenance of machine

Marzieh Baygan, Mahboubeh Baygan
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引用次数: 1

Abstract

In this paper, the imperialist competitive algorithm (ICA) and tabu search (TS) with regard to maintenance of cars A new method is presented for complex problem Open-Shop Schedule. To test the efficiency of the proposed algorithm with genetic algorithms (GA) compared. The results show that the proposed algorithm compared with genetic algorithm in more time it needs to run all the tests, due to the combination of imperialist competitive algorithm with tabu search algorithm. The proposed algorithm on the big issues to achieve better solutions than genetic algorithms. The great advantage of the proposed algorithm is considered.
提出了一种利用帝国主义竞争算法和禁忌搜索求解开放车间调度问题的新方法
本文将帝国主义竞争算法(ICA)与禁忌搜索(TS)结合起来,针对汽车维修问题,提出了一种求解复杂问题开放车间调度的新方法。为了验证所提算法与遗传算法(GA)的效率比较。结果表明,由于帝国主义竞争算法与禁忌搜索算法的结合,所提出的算法比遗传算法运行所有测试所需的时间更长。所提出的算法在重大问题上取得了比遗传算法更好的解决方案。考虑到该算法的巨大优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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