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.
@article{arxiv.2504.09577,
title = {Unification of Consensus-Based Multi-Objective Optimization and Multi-Robot Path Planning},
author = {Michael P. Wozniak},
journal= {arXiv preprint arXiv:2504.09577},
year = {2025}
}