Please use this identifier to cite or link to this item:
http://hdl.handle.net/10174/28619
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| Title: | A novel predator-prey strategy for optimization problems: preliminary study |
| Authors: | Cavaleiro Costa, Sérgio
Janeiro, Fernando M.
Malico, Isabel |
| Keywords: | Optimization
Evolutionary
Predator-Prey
Benchmark Functions |
| Issue Date: | Sep-2020 |
| Citation: | Cavaleiro Costa, S., Janeiro, F. M., Malico, I. (2020). A novel predator-prey strategy for optimization problems: preliminary study. VII Workshop on Computational Data Analysis and Numerical Methods, Tomar, Portugal, 10-12 September, pp. 73-74. ISBN: 978-989-8840-47-9 |
| Abstract: | Several evolutionary algorithms are described in the literature, but few try to mimic the predator-prey behavior. A novel Predator-Prey Algorithm is presented here, where several species may prey each other and reproduce, pushing the overall population to the best solutions of the cost function. This algorithm not only proved to be capable of finding solutions, but a niching behavior emerged from the algorithm itself, which is very desirable in multiobjective problems. |
| URI: | http://hdl.handle.net/10174/28619 |
| Type: | lecture |
| Appears in Collections: | DEM - Comunicações - Em Congressos Científicos Internacionais
CEM - Comunicações - Em Congressos Científicos Internacionais
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CEM - Centro de Engenharia Mecatrónica /
CEM - Comunicações - Em Congressos Científicos Internacionais /
