Inspiring Particle Swarm Optimization on Multi-Robot Search System
Journal Title: International Journal on Computer Science and Engineering - Year 2014, Vol 6, Issue 10
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.
Authors and Affiliations
Mohammad Naim Rastgoo , Bahareh Nakisa , Farzaneh Salimian Najafabadi
Keywords
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