Hybridizing metaheuristics for multi-and many-objective problems in a multi-agent architecture
Hybrid algorithms combine the best features of individual metaheuristics. They have proven to find high-quality solutions for multi-objective optimization problems. Architec- tures provide generic functionalities and features for implementing new hybrid algorithms to solve arbitrary optimization...
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| Formato: | doctoralThesis |
| Idioma: | pt_BR |
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Universidade Federal do Rio Grande do Norte
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| Endereço do item: | https://repositorio.ufrn.br/handle/123456789/48504 |
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