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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| Format: | Monograph |
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Universiti Sains Malaysia
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| Online Access: | http://eprints.usm.my/31727/ |
| _version_ | 1848876642225618944 |
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| author | Ong, Hong Choon |
| author_facet | Ong, Hong Choon |
| author_sort | Ong, Hong Choon |
| building | USM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T17:02:47Z |
| format | Monograph |
| id | usm-31727 |
| institution | Universiti Sains Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T17:02:47Z |
| publisher | Universiti Sains Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | usm-317272017-08-14T01:44:55Z 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) |
| spellingShingle | QA1 Mathematics (General) Ong, Hong Choon Comparison between Genetic Algorithm and Prey-Predator Algorithm. |
| title | 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_short | Comparison between Genetic Algorithm and Prey-Predator Algorithm. |
| title_sort | comparison between genetic algorithm and prey-predator algorithm. |
| topic | QA1 Mathematics (General) |
| url | http://eprints.usm.my/31727/ |