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arXiv · 2504.09577

Unification of Consensus-Based Multi-Objective Optimization and Multi-Robot Path Planning

Michael P. Wozniak
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Abstract

Multi-agent systems seeking consensus may also have other objective functions to optimize, requiring the research of multi-objective optimization in consensus. Several recent publications have explored this domain using various methods such as weighted-sum optimization and penalization methods. This paper reviews the state of the art for consensus-based multi-objective optimization, poses a multi-agent lunar rover exploration problem seeking consensus and maximization of explored area, and achieves optimal edge weights and steering angles by applying SQP algorithms.

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Michael P. Wozniak. 2025-04-13. Unification of Consensus-Based Multi-Objective Optimization and Multi-Robot Path Planning. https://arxiv.org/abs/2504.09577

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