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Abstract
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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
Submitted: March 03, 2012
Accepted: March 24, 2012
Published: October 15, 2012 |
Abstract:
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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.
Key words: Bacterial foraging algorithm, robots routing, regression, webots, , ,
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Cite this Reference:
Mahdi Darvishi, Hamid Haj Seyed Javadi, Mir Mohsen Pedram and Hossein Erfani, . Using Regression in Bacterial Foraging Algorithm to Improve Robots Routing. Research Journal of Applied Sciences, Engineering and Technology, (20): 4051-4054.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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