A Hybrid Genetic Algorithm and Proximal Policy Optimization System for Efficient Multi-Agent Task Allocation

Efficient task allocation remains a fundamental challenge in multi-agent systems, particularly under resource constraints and large-scale deployments. Classical methods, including market-based mechanisms, centralized optimization techniques, and game-theoretic strategies, have been widely applied to...

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Huvudupphovsmän: Zimo Zhu, Chuanqiang Yu, Junti Wang
Materialtyp: Artikel
Språk:engelska
Publicerad: MDPI AG 2025-06-01
Serie:Systems
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Länkar:https://www.mdpi.com/2079-8954/13/6/453
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