Multi objective mobile robot path planning based on hybrid algorithm

Author

Geetha, S. ; Chitra, G. Muthu ; Jayalakshmi, V.

Author_Institution

MCA Dept., Anna Univ. of Technol., Trichirappalli, India

Volume

6

fYear

2011

fDate

8-10 April 2011

Firstpage

251

Lastpage

255

Abstract

Mobile robot path planning algorithm based on Ant Colony Optimization and Genetic algorithm is proposed. The algorithm aims to achieve different kinds of optimization objects for planned paths: length, smoothness and security. Evolutionary process of Ant Colony Optimization algorithm adapts genetic operations to enhance ant movement towards solution state. The experimental result derives the optimal final solution, by accumulating the most effective sub-solutions. The Simulation result is shown that the robot can plan a set of optimized path. The optimized path avoids collision from source to destination point in the area with many obstacles.

Keywords

collision avoidance; genetic algorithms; mobile robots; ant colony optimization algorithm; ant movement; collision avoidance; evolutionary process; genetic algorithm; genetic operation; hybrid algorithm; multiobjective mobile robot path planning; optimal final solution; path optimization; Algorithm design and analysis; Encoding; Genetic algorithms; Mobile robots; Optimization; Path planning; Ant colony Optimization; Genetic algorithm; Mobile Robot path; Solution state;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics Computer Technology (ICECT), 2011 3rd International Conference on

Conference_Location

Kanyakumari

Print_ISBN

978-1-4244-8678-6

Electronic_ISBN

978-1-4244-8679-3

Type

conf

DOI

10.1109/ICECTECH.2011.5942092

Filename

5942092