Genetic Algorithms: A Decision Tool in Industrial Disassembly

IF 2.6 3区数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

Journal of Systems Science & Complexity Pub Date : 2008-11-08 DOI:10.1109/CANS.2008.14

L. Duta, F. Filip, C. Zamfirescu

引用次数: 2

Abstract

In the recycling process of the Waste Electrical and Electronic Equipment (WEEE) the disassembly process has a central role. Disassembly is not the reverse of the assembly process, real difficulties occur in the tasks assignment process of the disassembly operations. Since this is a multi objective optimization problem, we prove that genetic algorithms provide a useful multi-criteria decision tool in the industrial disassembly process.

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遗传算法:工业拆卸中的决策工具

在废旧电器电子设备的回收过程中，拆解过程起着核心作用。拆卸不是逆向的装配过程，真正的困难发生在拆卸操作的任务分配过程中。由于这是一个多目标优化问题，我们证明了遗传算法在工业拆卸过程中提供了一个有用的多准则决策工具。

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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来源期刊

Journal of Systems Science & Complexity 数学-数学跨学科应用

CiteScore

3.80

自引率

9.50%

发文量

审稿时长

6-12 weeks

期刊介绍： The Journal of Systems Science and Complexity is dedicated to publishing high quality papers on mathematical theories, methodologies, and applications of systems science and complexity science. It encourages fundamental research into complex systems and complexity and fosters cross-disciplinary approaches to elucidate the common mathematical methods that arise in natural, artificial, and social systems. Topics covered are: complex systems, systems control, operations research for complex systems, economic and financial systems analysis, statistics and data science, computer mathematics, systems security, coding theory and crypto-systems, other topics related to systems science.