期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2016
卷号：5
期号：8
页码：15254
DOI：10.15680/IJIRSET.2016.0508102
出版社：S&S Publications
摘要：This paper focuses at designing an optimal Band Stop FIR digital filter by using Predator PreyOptimization (PPO) technique. PPO is stochastic population based technique that explores the search space locally aswell as globally. PPO is a mere extension of Particle Swarm Optimization (PSO), in which the new particle known asPredator; produces diversity in the swarm population and avoid convergence to sub-optimal solutions. Oppositionbased strategy has been employed in order to obtain better solutions. PPO provides a comprehensive set of results andoutperforms the traditional optimization techniques. Effectiveness of PPO has been proved by carrying out thecomparison between the obtained results and results of Differential Evolution.
