Comparison of BAT with PSO for Path Planning Problems
- Yogita Gigras
- Oshina Vasishth
Bat algorithm, Particle Swarm Optimization, Path Planning, Bio-inspired algorithms .
Path planning is a fundamental but an essential task in the field of robotics .The completion and correctness of a problem in planning a path depends upon the accuracy of the algorithms used. One category of algorithms used in Path planning has a great influence from nature and are known as bio-inspired algorithms. These algorithms imitate the nature for discovering the path in an artificial environment. Bio inspired algorithms in path planning has evoked large attention from research community in past two decades which can we seen by the way large number of algorithms are being developed today to improve and increase the efficiency of finding the path.
This paper shows the growth in this field by comparing two algorithms of initial and recent phases in which one is PSO which was developed in 1995 while the other is BAT algorithm developed in 2010 These two algorithms are implemented in dynamic environment and the path is evaluated using matlab, while the performance of algorithms are compared or calculated by changing the number of population.
Yogita Gigras, Oshina Vasishth. "Comparison of BAT with PSO for Path Planning Problems".INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH ISSN:2321-9939, Vol.3, Issue 2, pp.590-595, URL :https://rjwave.org/ijedr/papers/IJEDR1502108.pdf
Volume 3 Issue 2
Pages. 590-595
