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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Detalles Bibliográficos
Autores principales: Link, Hannes, Weuster-Botz, Dirk
Formato: Texto
Lenguaje:English
Publicado: Springer-Verlag 2006
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1705497/
https://www.ncbi.nlm.nih.gov/pubmed/17048033
http://dx.doi.org/10.1007/s00449-006-0087-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1705497/
https://www.ncbi.nlm.nih.gov/pubmed/17048033
http://dx.doi.org/10.1007/s00449-006-0087-7

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