Mobile robot path planning using fuzzy enhanced improved Multi-Objective particle swarm optimization (FIMOPSO)

•Efficient algorithm is needed for cracking Car-like Robot Path Planning problems.•An Improved Multi-objective PSO algorithm is proposed and compared with MOSPEA2.•Five objective functions are considered in solving multi-objective CRPP problems.•Totally six experiments were conducted to validate the...

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Veröffentlicht in:	Expert systems with applications Jg. 198; S. 116875
Hauptverfasser:	Sathiya, V., Chinnadurai, M., Ramabalan, S.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Elsevier Ltd 15.07.2022 Elsevier BV
Schlagworte:	Car-like robot path planning Collision avoidance Evolutionary algorithms FIMOPSO Inference MOSPEA2 Multiple objective analysis Non-holonomic and kinodynamic constraints Obstacle avoidance Particle swarm optimization Path planning Robots Static and dynamic environments Travel time MOSPEA2 Car-like robot path planning Non-holonomic and kinodynamic constraints Static and dynamic environments FIMOPSO
ISSN:	0957-4174, 1873-6793
Online-Zugang:	Volltext
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