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- W235895081 abstract "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 provides preference information at each iteration simply 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 is 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 efficiency and usefulness is demonstrated with a five-objective optimization problem." @default.
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- W235895081 date "2015-01-01" @default.
- W235895081 modified "2023-10-18" @default.
- W235895081 title "An Interactive Evolutionary Multiobjective Optimization Method: Interactive WASF-GA" @default.
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- W235895081 doi "https://doi.org/10.1007/978-3-319-15892-1_17" @default.
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