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

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...

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Veröffentlicht in:	IEEE access Jg. 11; S. 1
Hauptverfasser:	Naderi, Shokoufeh, Blondin, Maude J.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.01.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	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
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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