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http://hdl.handle.net/10553/76487
| Título: | A robust-solution-based methodology to solve multiple-objective problems with uncertainty | Autores/as: | Salazar, Daniel Gandibleux, Xavier Jorge, Julien Sevaux, Marc |
Clasificación UNESCO: | 1207 Investigación operativa | Palabras clave: | Evolutionary Optimization Designs Flowshop scheduling problem Genetic algorithm, et al. |
Fecha de publicación: | 2009 | Editor/a: | Springer | Publicación seriada: | Lecture Notes in Economics and Mathematical Systems | Conferencia: | 7th Multi-Objective Programming and Goal Programming Conference | Resumen: | This paper presents the formulation and evaluation of a methodology to solve multiple-objective problems in the presence of uncertainty based on robustness. The methods were developed regarding a particular real "Released when Completing blocking (RCb)" scheduling flowshop problem characterized by several equivalent solutions, but they can be extended to another robustness problems. | URI: | http://hdl.handle.net/10553/76487 | ISBN: | 978-3-540-85645-0 | ISSN: | 0075-8442 | DOI: | 10.1007/978-3-540-85646-7_19 | Fuente: | Multiobjective Programming and Goal Programming. Lecture Notes in Economics and Mathematical Systems,, v. 618 LNE, p. 197-207, (2009) |
| Colección: | Capítulo de libro |
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