一种编码修正算法在重叠联盟形成中的应用

Pub Date : 2021-10-01 DOI:10.4018/ijcini.20211001.oa27
Haixia Gui, Banglei Zhao, Huizong Li, Wanliu Che
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引用次数: 0

摘要

重叠联盟的形成是多智能体系统中一个非常活跃的研究领域。在重叠联盟中,每个智能体可以同时参与多个任务对应的不同联盟。由于每个代理的资源有限,因此会发生资源冲突。为了解决资源冲突问题,本文提出了一种改进的编码修正算法,通过检查每一行的编码,将无效的二维二进制编码修正为有效的编码。为了验证算法的有效性,我们将差分进化作为实验平台,并与Zhang等人进行了比较。实验结果表明,本文算法在解质量和编码修正时间上都优于Zhang等人。
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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Application of an Encoding Revision Algorithm in Overlapping Coalition Formation
Overlapping coalition formation is a very active research field in multi-agent systems (MAS). In overlapping coalition, each agent can participate in different coalitions corresponding to multiple tasks at the same time. As each agent has limited resources, resource conflicts will occur. In order to resolve resource conflicts, we develop an improved encoding revision algorithm in this paper which can revise an invalid two-dimensional binary encoding into a valid one by checking the encoding for each row. To verify the effectiveness of the algorithm, differential evolution was used as the experimental platform and compared with Zhang et al. The experimental results show that the algorithm in this paper is superior to Zhang et al. in both solution quality and encoding revision time.
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