On Integrating Population-Based Metaheuristics with Cooperative Parallelism
Many real-life applications can be formulated as Combinatorial Optimization Problems, the solution of which is often challenging due to their intrinsic difficulty. At present, the most effective methods to address the hardest problems entail the hybridization of metaheuristics and cooperative parall...
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| Outros Autores: | , , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2019
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| Texto completo: | http://hdl.handle.net/10174/24743 |
| País: | Portugal |
| Oai: | oai:dspace.uevora.pt:10174/24743 |