一种基于记忆的模拟退火算法求解多线设施布局问题

IF 1.4 Q3 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Decision Science Letters Pub Date : 2023-01-01 DOI:10.5267/j.dsl.2022.10.005
Kamran Zolfi, Javid Jouzdani, Hadi Shirouyehzad
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引用次数: 2

摘要

本文提出了一种基于存储器的模拟退火算法——双存储器模拟退火算法(DMSA)来解决多线设备布局问题。目标是尽量减少总物料处理成本。考虑了两个内存缓冲区和一个重启机制。从文献综述中选取两个基准问题,分别采用标准模拟退火(SA)算法和DMSA算法求解。结果表明,与标准SA算法和用于解决这些测试用例的其他算法相比,DMSA算法提供的解决方案具有成本效益。此外,为了进一步评估DMSA算法在大规模问题中的性能,从二次分配问题(QAP)的基准库中选择了11个测试用例。结果表明,该算法在求解复杂问题方面具有示范作用。
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A novel memory-based simulated annealing algorithm to solve multi-line facility layout problem
In this paper, a memory-based simulated annealing algorithm called the Dual Memory Simulated Annealing Algorithm (DMSA) is presented to solve multi-line facility layout problems. The objective is to minimize the total material handling cost. Two memory buffers and a restart mechanism are considered. Two benchmark problems were selected from the literature review papers and solved using the standard simulated annealing (SA) algorithm and the DMSA. The obtained results show that solutions provided by the DMSA algorithm are cost-effective compared to the standard SA algorithm and the other algorithms used for solving these test cases. Moreover, to further evaluate the performance of the DMSA algorithm in large scale problems, eleven test cases were selected from the benchmark library of the quadratic assignment problem (QAP). According to the results, the performance of the algorithm in finding solutions to complex problems is exemplary.
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来源期刊
Decision Science Letters
Decision Science Letters Decision Sciences-Decision Sciences (all)
CiteScore
3.40
自引率
5.30%
发文量
49
审稿时长
20 weeks
期刊最新文献
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