A parallel multiple reference point approach for multi-objective optimization
Wierzbicki, Andrzej P.; Talbi, El-Ghazali; Liefooghe, Arnaud; Figueira, José (2010), A parallel multiple reference point approach for multi-objective optimization, European Journal of Operational Research, 205, 2, p. 390-400. http://dx.doi.org/10.1016/j.ejor.2009.12.027
Type
Article accepté pour publication ou publiéExternal document link
http://hal.archives-ouvertes.fr/hal-00522619/en/Date
2010Journal name
European Journal of Operational ResearchVolume
205Number
2Publisher
Elsevier
Pages
390-400
Publication identifier
Metadata
Show full item recordAbstract (EN)
This paper presents a multiple reference point approach for multi-objective optimization problems of discrete and combinatorial nature. When approximating the Pareto Frontier, multiple reference points can be used instead of traditional techniques. These multiple reference points can easily be implemented in a parallel algorithmic framework. The reference points can be uniformly distributed within a region that covers the Pareto Frontier. An evolutionary algorithm is based on an achievement scalarizing function that does not impose any restrictions with respect to the location of the reference points in the objective space. Computational experiments are performed on a bi-objective flow-shop scheduling problem. Results, quality measures as well as a statistical analysis are reported in the paper.Subjects / Keywords
ultiple objective programming; Parallel computing; Multiple reference point approach; Evolutionary computations; Bi-objective flow-shop schedulingRelated items
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