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ABSTRACT
Title |
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Inspiring Particle Swarm Optimization on Multi-Robot Search System |
Authors |
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Mohammad Naim Rastgoo, Bahareh Nakisa, Farzaneh Salimian Najafabadi |
Keywords |
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Particle Swarm Optimization, Multi-robot system, Searching task |
Issue Date |
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October 2014. |
Abstract |
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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) |
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338-342 |
ISSN |
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0975–3397 |
Source |
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Vol. 6, Issue.10 |
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