Title :
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
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;
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
DOI :
10.1109/ICECTECH.2011.5942092
