A Mapping and State-of-the-Art Survey on Multi-Objective Optimization Methods for Multi-Agent Systems

• Published in: IEEE access Vol. 11; p. 1
• Main Authors: Naderi, Shokoufeh, Blondin, Maude J.
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.01.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Classification algorithms; Linear programming; Mapping; Multi-agent systems; multi-objective optimization; multi-robot systems; Multiagent systems; Multiple objective analysis; Multiple robots; Optimization; Optimization methods; prioritized sum of objective functions; Robot kinematics; Robotics; State-of-the-art reviews; Surveys; Task analysis

Over the last decades, researchers have studied the Multi-Objective Optimization problem (MOO) for Multi-Agent Systems (MASs). However, most of them consider the problem formulation to be an unprioritized sum of objective functions, and no work has reviewed problems with the formulation of the prior...