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Genetic algorithm for multi-objective experimental optimization
A new software tool making use of a genetic algorithm for multi-objective experimental optimization (GAME.opt) was developed based on a strength Pareto evolutionary algorithm. The software deals with high dimensional variable spaces and unknown interactions of design variables. This approach was eva...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer-Verlag
2006
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1705497/ https://ncbi.nlm.nih.gov/pubmed/17048033 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00449-006-0087-7 |
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