Comparison Between Genetic Algorithm And Prey-Predator Algorithm
| dc.contributor.author | Ong, Hong Choon | |
| dc.date.accessioned | 2023-01-12T04:11:51Z | |
| dc.date.available | 2023-01-12T04:11:51Z | |
| dc.date.issued | 2015-11-04 | |
| dc.description.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 solutions 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. A more complete list of comparison with five algorithms were done in detail in the dissertation of a masters student under this grant. We also studied the properties of this new algorithm in the work of another two masters students with the work published in an indexed journal. The applications of these algorithms have gone far beyond the scientific field to different real problems as demonstrated in our publications. We are currently extending the newly introduced prey-predator algorithm to incorporate a more general scenario in the work of our current on-going PhD student. | en_US |
| dc.identifier.uri | http://hdl.handle.net/123456789/17162 | |
| dc.language.iso | en | en_US |
| dc.publisher | Universiti Sains Malaysia | en_US |
| dc.title | Comparison Between Genetic Algorithm And Prey-Predator Algorithm | en_US |
| dc.type | Technical Report | en_US |
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