Solving MRTA problem based on multi-strategy genetic algorithm

Solving MRTA problem based on multi-strategy genetic algorithm

This paper proposes a multi-strategy genetic algorithm (DIHA-GA) to address the issues of local optima and low efficiency in solving multi-robot task allocation (MRTA) using genetic algorithm (GA). Firstly, a dual chromosome coding strategy was adopted to simplify the coding process. Secondly, the p...

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Bibliographic Details
Main Authors: CHEN Haiyang, LIU Yan, DOU Wei, HUANG Qi
Format: Article
Language:zho
Published: Editorial Office of Journal of XPU 2024-12-01
Series:Xi'an Gongcheng Daxue xuebao
Subjects:
multi-robot task allocation (mrta)
warehousing logistics
genetic algorithm (ga)
improved circle strategy
hybrid particle swarm optimization (hpso)
ant colony optimization (aco)
Online Access:http://journal.xpu.edu.cn/en/#/digest?ArticleID=1520
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