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2012 (Vol. 4, Issue: 20)
Article Information:

Using Regression in Bacterial Foraging Algorithm to Improve Robots Routing

Mahdi Darvishi, Hamid Haj Seyed Javadi, Mir Mohsen Pedram and Hossein Erfani
Corresponding Author:  Mahdi Darvishi 

Key words:  Bacterial foraging algorithm, robots routing, regression, webots, , ,
Vol. 4 , (20): 4051-4054
Submitted Accepted Published
March 03, 2012 March 24, 2012 October 15, 2012
Abstract:

Robots routing is usually one of the essential factors in robotics. A lot of algorithms have been proposed for robots routing like: Routing based on combined geometric methods, fuzzy logic and genetic algorithm. In the present study the Bacterial Foraging Algorithm (BFA) has been used for robots path planning. But the obtained path is not curve and there are some zigzag points in this path. In addition most of robots not able to turn or change the direction, suddenly. As a result, robots have to stop at some point of path for turn and change direction. It means a lot of waste of time and to reach the goal later. This study has combined mathematical models like Regression and interpolation, with BFA to change the path into curve. Therefore, robots can pass the path without any stoppage, so they can reach the goal sooner. In the simulation part of this study a robot was made by using Webots software and C language. The results show that the robot with the combined algorithm could reach the goal much sooner.
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  Cite this Reference:
Mahdi Darvishi, Hamid Haj Seyed Javadi, Mir Mohsen Pedram and Hossein Erfani, 2012. Using Regression in Bacterial Foraging Algorithm to Improve Robots Routing.  Research Journal of Applied Sciences, Engineering and Technology, 4(20): 4051-4054.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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