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http://hdl.handle.net/10553/76487
| Title: | A robust-solution-based methodology to solve multiple-objective problems with uncertainty | Authors: | Salazar, Daniel Gandibleux, Xavier Jorge, Julien Sevaux, Marc |
UNESCO Clasification: | 1207 Investigación operativa | Keywords: | Evolutionary Optimization Designs Flowshop scheduling problem Genetic algorithm, et al |
Issue Date: | 2009 | Publisher: | Springer | Journal: | Lecture Notes in Economics and Mathematical Systems | Conference: | 7th Multi-Objective Programming and Goal Programming Conference | Abstract: | 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 | Source: | Multiobjective Programming and Goal Programming. Lecture Notes in Economics and Mathematical Systems,, v. 618 LNE, p. 197-207, (2009) |
| Appears in Collections: | Capítulo de libro |
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