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Abstract
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Article Information:
Balancing Exploration and Exploitation in Particle Swarm Optimization on Search Tasking
Bahareh Nakisa, Mohammad Naim Rastgoo and Md. Jan Norodin
Corresponding Author: Bahareh Nakisa
Submitted: May 31, 2014
Accepted: June 20, 2014
Published: Bahareh Nakisa |
Abstract:
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In this study we present a combinatorial optimization method based on particle swarm optimization and local search algorithm on the multi-robot search system. Under this method, in order to create a balance between exploration and exploitation and guarantee the global convergence, at each iteration step if the distance between target and the robot become less than specific measure then a local search algorithm is performed. The local search encourages the particle to explore the local region beyond to reach the target in lesser search time. Experimental results obtained in a simulated environment show that biological and sociological inspiration could be useful to meet the challenges of robotic applications that can be described as optimization problems.
Key words: Exploration and exploitation, local search algorithm, particle swarm optimization, search tasking, , ,
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Cite this Reference:
Bahareh Nakisa, Mohammad Naim Rastgoo and Md. Jan Norodin, . Balancing Exploration and Exploitation in Particle Swarm Optimization on Search Tasking. Research Journal of Applied Sciences, Engineering and Technology, (12): 1429-1434.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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