Shortest Path Planning Algorithm - A Particle Swarm Optimization (PSO) Approach

Shortest Path Planning Algorithm - A Particle Swarm Optimization (PSO) Approach

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Path planning for a mobile robot is a difficult task and has been widely studied in robotics. The objective of recent researches is not just to find feasible paths but to find paths that are optimal with respect to distance covered and safety of the robot. Techniques based on optimization have been proposed to solve this problem but some of them used techniques that may converge to local...
 
Published at Lecture Notes in Engineering and Computer Science: Proceedings of The World Congress on Engineering 2018, 4-6 July, 2018, London, U.K.
Pages 19-24
Published in 2018
 
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visit (http://www.iaeng.org/publication/WCE2018/)
 
 
P.I. Adamu; J.T. Jegede; H.I. Okagbue; P.E. Oguntunde
Okagbue Hilary Izuchukwu » Hilary Izuchukwu Okagbue Obtained his B.Tech, M.Sc and Ph.D. degrees in Industrial Mathematics and Statistics from the Federal University of Technology, Owerri, University of Lagos, Covenant University in 2007, 2010 and 2019 respectively. His research interests include Data Analysis, Mathematical Statistics, Mathematical Cryptography and analysis of patterns in number theory. view full profile
Okagbue Hilary Izuchukwu
 
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