Mobile Robot Path Planning in an Obstacle-free Static Environment using Multiple Optimization Algorithms

This article presents the implementation and comparison of fruit fly optimization (FOA), ant colony optimization (ACO) and particle swarm optimization (PSO) algorithms in solving the mobile robot path planning problem. FOA is one of the newest nature-inspired algorithms while PSO and ACO has been in...

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Hlavní autoři: Chika Yinka-Banjo, U. Agwogie
Médium: Artigo
Jazyk:Inglês
Vydáno: Faculty of Engineering and Technology 2020-10-01
Edice:Nigerian Journal of Technological Development
Témata:
swarm intelligence
fruit fly algorithm
ant colony optimization
particule swarm optimization
optimal path
mobile robot
On-line přístup:https://journal.njtd.com.ng/index.php/njtd/article/view/492
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