INTERACTIVE MULTIOBJECTIVE TABU/SCATTER SEARCH BASED ON REFERENCE POINT

This paper presents multiobjective tabu/scatter search architecture with preference information based on reference points for problems of contin- uous nature. Features of this new version are: its interactive behavior, its deterministic approximation to Pareto-optimality solutions near the refer- en...

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Main Author: Beausoleil, Ricardo P.
Format: Artículo
Language: Inglés
Published: 2015
Subjects:
Online Access: http://revistas.ucr.ac.cr/index.php/matematica/article/view/15186
http://hdl.handle.net/10669/13057
Summary: This paper presents multiobjective tabu/scatter search architecture with preference information based on reference points for problems of contin- uous nature. Features of this new version are: its interactive behavior, its deterministic approximation to Pareto-optimality solutions near the refer- ence point, and the possibility to change progressively the reference point to explore different preference regions. The approach does not impose any restrictions with respect to the location of the reference points in the objective space. On 2-objective to 10-objective optimization test problems the modified approach shows its efficacy and efficiency to find an adequate non-dominated set of solutions in the preferred region.??