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

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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Bibliographic Details
Main Authors: Chika Yinka-Banjo, U. Agwogie
Format: Article
Language:English
Published: Faculty of Engineering and Technology 2020-10-01
Series:Nigerian Journal of Technological Development
Subjects:
swarm intelligence
fruit fly algorithm
ant colony optimization
particule swarm optimization
optimal path
mobile robot
Online Access:https://journal.njtd.com.ng/index.php/njtd/article/view/492

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