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- W2080467634 abstract "MOEA/D is a recently proposed methodology of Multiobjective Evolution Algorithms that decomposes multiobjective problems into a number of scalar subproblems and optimizes them simultaneously. However, classical MOEA/D uses same weight vectors for different shapes of Pareto front. We propose a novel method called Pareto-adaptive weight vectors (paλ) to automatically adjust the weight vectors by the geometrical characteristics of Pareto front. Evaluation on different multiobjective problems confirms that the new algorithm obtains higher hypervolume, better convergence and more evenly distributed solutions than classical MOEA/D and NSGA-II." @default.
- W2080467634 created "2016-06-24" @default.
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- W2080467634 date "2011-07-01" @default.
- W2080467634 modified "2023-10-18" @default.
- W2080467634 title "Multiobjective optimization by decomposition with Pareto-adaptive weight vectors" @default.
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- W2080467634 doi "https://doi.org/10.1109/icnc.2011.6022367" @default.
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