Ong, Hong Choon *Comparison between Genetic Algorithm and Prey-Predator Algorithm.* Project Report. Universiti Sains Malaysia. (Submitted)

## Abstract

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.

Item Type: | Monograph (Project Report) |
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Subjects: | Q Science > QA Mathematics > QA1 Mathematics (General) |

Divisions: | Pusat Pengajian Sains Matematik (School of Mathematical Sciences) |

Depositing User: | Mr Erwan Roslan |

Date Deposited: | 20 Jan 2017 09:53 |

Last Modified: | 14 Aug 2017 09:44 |

URI: | http://eprints.usm.my/id/eprint/31727 |

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