协同设计中基于粒子群优化的冲突解决方法研究

Li Zhang, X. Shao, Chi Zhou, Liang Gao
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引用次数: 1

摘要

由于许多参与设计过程的决策者具有不同的专业知识和目标,因此协作程度和专家水平成为计算机支持协同设计的关键标准。我们的方法是建立一个基于决策的模型,并寻求一个更好的冲突解决算法。本文将冲突问题描述为多目标决策优化模型,提出了不合作度和可靠性的概念。在此基础上,采用粒子群优化(PSO)算法解决冲突问题。以导弹协同设计为例,比较了粒子群算法与遗传算法的性能。实验结果证明了该模型和算法的优越性和有效性
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Conflict Resolution Method based on Particle Swarm Optimization in Collaborative Design
The degree of cooperation and level of experts become the crucial standard in computer supported collaborative design, because many decision-makers participating in the design process have different expertise and goals. Our approach is to set up a model based on decision and to seek a better algorithm for conflict resolution. This paper described conflict problem as a multi-objective decision-making optimization model, and presented the concepts of non-cooperation degree and reliability degree. Furthermore, particle swarm optimization (PSO) algorithm was employed to resolve the conflict problem. To validate its efficiency, we compared the performance of PSO with genetic algorithm (GA) by a real case of missile collaborative design. The result demonstrates the advantage and effectiveness of the model and the proposed algorithm
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