A study on an extended Prey-Predator algorithm

Hong, Choon Ong and Chia, Jiun Ng (2015) A study on an extended Prey-Predator algorithm. Journal of Quality Measurement and Analysis, 11 (2). pp. 17-29. ISSN 1823-5670

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Metaheuristic algorithms are approximate solution methods for optimisation problems which try to improve the quality of solution at hand iteratively in a random way. In recent years, various studies have been conducted in forming new metaheuristic algorithms and modifying or improving existing algorithms to enhance the performance in optimal solution search. In this study, we focus on extending an existing algorithm Prey-Predator algorithm proposed by Tilahun and Ong. Prey-Predator algorithm is a metaheuristic algorithm inspired by interaction between prey and predator among animals. The algorithm imitates the way a predator runs after and hunts its preys where each prey tries to stay with the pack trying to search for hiding place and run away from the predator. In extension of Prey-Predator algorithm, the number of both best preys and predators are increased resulting in a more reasonably exploitation and exploration so that multiple solutions can be achieved. The simulation of nmPPA is carried on ten selected benchmarks test function. nmPPA aimed to solve the problem of objective values being trapped in local optimum and to find multiple solutions at the same time.

Item Type:Article
Keywords:Prey-Predator; Optimisation; Metaheuristics
Journal:Journal of Quality Measurement and Analysis
ID Code:9733
Deposited By: ms aida -
Deposited On:04 May 2016 03:13
Last Modified:14 Dec 2016 06:50

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