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An improved gravitational search algorithm for green partner selection in virtual enterprises

机译:虚拟企业绿色伙伴选择的一种改进的引力搜索算法

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With the increasing public consciousness in environmental protection, the green partner selection problem (G-PSP) is an important issue in virtual enterprises. In this paper, the green criterion is introduced to partner selection problem (PSP), and a green partner selection model based on six criteria is proposed. As PSP has been proven to be an NP problem, and G-PSP cannot be solved in reasonable time by traditional methods. In this paper, an improved algorithm I-GSA/PSO that combines gravitational search algorithm and particle swarm optimization is developed to solve G-PSP in virtual enterprises. Experimental results show that I-GSA/PSO is effective and outperforms other evolutionary algorithms in solving G-PSP. (C) 2016 Published by Elsevier B.V.
机译:随着公众对环保意识的增强,绿色合作伙伴选择问题(G-PSP)已成为虚拟企业中的重要问题。本文将绿色标准引入伙伴选择问题(PSP),并提出了基于六个标准的绿色伙伴选择模型。由于PSP已被证明是一个NP问题,并且传统方法无法在合理的时间内解决G-PSP。针对虚拟企业中的G-PSP问题,提出了一种结合重力搜索算法和粒子群算法的改进算法I-GSA / PSO。实验结果表明,I-GSA / PSO在求解G-PSP方面是有效的,并且优于其他进化算法。 (C)2016由Elsevier B.V.发布

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