e-ISSN : 0975-3397
Print ISSN : 2229-5631
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ABSTRACT

Title : Inspiring Particle Swarm Optimization on Multi-Robot Search System
Authors : Mohammad Naim Rastgoo, Bahareh Nakisa, Farzaneh Salimian Najafabadi
Keywords : Particle Swarm Optimization, Multi-robot system, Searching task
Issue Date : October 2014.
Abstract :
Multi-robot Search system is one area that attracts many researchers. In the field of multi-robot system one of the problem is to design a system that allow the robot to work within a team to find a target. There are many methods that are used on the multi-robot systems. One of the methods is Particle Swarm Optimization (PSO) that uses a virtual multi-agent search to find a target in a 2 dimensional search space. In this paper we present a multi-search algorithm by modifying the Particle Swarm Optimization algorithm to model an abstracted level theeffects of changing aspects and parameters of the system suchas number of robots.
Page(s) : 338-342
ISSN : 0975–3397
Source : Vol. 6, Issue.10

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