An Interactive Evolutionary Multiobjective Optimization Method: Interactive WASF-GA
Ruiz, A. B., Luque, M., Miettinen, K., & Saborido, R. (2015). An Interactive Evolutionary Multiobjective Optimization Method: Interactive WASF-GA. In A. Gaspar-Cunha, C. H. Antunes, & C. C. Coello (Eds.), Evolutionary Multi-Criterion Optimization : 8th International Conference, EMO 2015, Guimarães, Portugal, March 29 --April 1, 2015. Proceedings, Part II (pp. 249-263). Springer. Lecture Notes in Computer Science, 9019. https://doi.org/10.1007/978-3-319-15892-1_17
Published inLecture Notes in Computer Science
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In this paper, we describe an interactive evolutionary algorithm called Interactive WASF-GA to solve multiobjective optimization problems. This algorithm is based on a preference-based evolutionary multiobjective optimization algorithm called WASF-GA. In Interactive WASF-GA, a decision maker (DM) provides preference information at each iteration simple as a reference point consisting of desirable objective function values and the number of solutions to be compared. Using this information, the desired number of solutions are generated to represent the region of interest of the Pareto optimal front associated to the reference point given. Interactive WASF-GA implies a much lower computational cost than the original WASF-GA because it generates a small number of solutions. This speeds up the convergence of the algorithm, making it suitable for many decision-making problems. Its e ciency and usefulness is demonstrated with a ve-objective optimization problem.
Parent publication ISBN978-3-319-15891-4
ConferenceInternational Conference on Evolutionary Multi-Criterion Optimization
Is part of publicationEvolutionary Multi-Criterion Optimization : 8th International Conference, EMO 2015, Guimarães, Portugal, March 29 --April 1, 2015. Proceedings, Part II
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