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Comparison between Genetic Algorithm and Prey-Predator Algorithm.

The use of metaheuristic algorithms to different problems becomes very common after the introduction of genetic algorithm in 1975. Most of these algorithms are inspired by real life biological phenomenon. We introduce a new metaheuristic algorithm inspired by prey-predator interaction of animals....

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Main Author: Ong, Hong Choon
Format: Monograph
Published: Universiti Sains Malaysia
Subjects:
QA1 Mathematics (General)
Online Access:http://eprints.usm.my/31727/
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id my.usm.eprints.31727
record_format eprints
spelling my.usm.eprints.31727 http://eprints.usm.my/31727/ Comparison between Genetic Algorithm and Prey-Predator Algorithm. Ong, Hong Choon QA1 Mathematics (General) The use of metaheuristic algorithms to different problems becomes very common after the introduction of genetic algorithm in 1975. Most of these algorithms are inspired by real life biological phenomenon. We introduce a new metaheuristic algorithm inspired by prey-predator interaction of animals. In the algorithm, randomly generated solution are assigned as a predator and preys depending on their performance on the objective function. We also compared the performance of this algorithm with the genetic algorithm on selected test problems and we showed that the new algorithm performed better in our publication. Universiti Sains Malaysia Monograph NonPeerReviewed Ong, Hong Choon Comparison between Genetic Algorithm and Prey-Predator Algorithm. Project Report. Universiti Sains Malaysia. (Submitted)
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
topic QA1 Mathematics (General)
spellingShingle QA1 Mathematics (General)
Ong, Hong Choon
Comparison between Genetic Algorithm and Prey-Predator Algorithm.
description The use of metaheuristic algorithms to different problems becomes very common after the introduction of genetic algorithm in 1975. Most of these algorithms are inspired by real life biological phenomenon. We introduce a new metaheuristic algorithm inspired by prey-predator interaction of animals. In the algorithm, randomly generated solution are assigned as a predator and preys depending on their performance on the objective function. We also compared the performance of this algorithm with the genetic algorithm on selected test problems and we showed that the new algorithm performed better in our publication.
format Monograph
author Ong, Hong Choon
author_facet Ong, Hong Choon
author_sort Ong, Hong Choon
title Comparison between Genetic Algorithm and Prey-Predator Algorithm.
title_short Comparison between Genetic Algorithm and Prey-Predator Algorithm.
title_full Comparison between Genetic Algorithm and Prey-Predator Algorithm.
title_fullStr Comparison between Genetic Algorithm and Prey-Predator Algorithm.
title_full_unstemmed Comparison between Genetic Algorithm and Prey-Predator Algorithm.
title_sort comparison between genetic algorithm and prey-predator algorithm.
publisher Universiti Sains Malaysia
url http://eprints.usm.my/31727/
_version_ 1643707468288622592
score 13.160551

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