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- W2388774087 abstract "In order to avoid the situation of falling into local optimum when solving the Multi-objective Optimization Problem(MOP) with Differential Evolution Algorithm(DE),we design a bidirectional search mechanism which can improve the ability of local search of the DE and reduce the risk of local optimum,as well as make the Pareto fronts more evenly distributed.Experimental results show that the proposed method is more efficient than similar algorithms such as NSGA-II with better precision and distribution of Pareto optimal solution." @default.
- W2388774087 created "2016-06-24" @default.
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- W2388774087 date "2012-01-01" @default.
- W2388774087 modified "2023-09-23" @default.
- W2388774087 title "A Multi-objective Optimization Algorithm Based on Differential Evolution with the Bidirectional-search Mechanism" @default.
- W2388774087 hasPublicationYear "2012" @default.
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