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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Vydáno v:	Expert systems with applications Ročník 198; s. 116875
Hlavní autoři:	Sathiya, V., Chinnadurai, M., Ramabalan, S.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Elsevier Ltd 15.07.2022 Elsevier BV
Témata:	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
On-line přístup:	Získat plný text
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