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- W2384808870 abstract "In multi-objective optimization problem,decision makers(DMs) are only interested in a special part of the objective space,so which should has enough solutions.But the traditional approach is to identify all of the Pareto front,so decision-ma-king efficiency is not high.Proposed a multi-objective particle swarm optimization algorithm based on DMs preference region,which only found a preferred and smaller set of Pareto-optimal solutions,insteaded of the entire Pareto frontier,so that reduced the number of iterations and improved the convergencerate,in the end it was beneficial to the decision maker making efficient and reliable decisions.The algorithm took the distance between particle and the DMs preference region as a factor affecting leader selection and pruning strategy,and applied the grid strategy to maintain the diversity of solution.Simulation results show that the proposed algorithm is effective." @default.
- W2384808870 created "2016-06-24" @default.
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- W2384808870 date "2010-01-01" @default.
- W2384808870 modified "2023-09-25" @default.
- W2384808870 title "Multi-objective particle swarm optimization algorithm based on DMs preference region" @default.
- W2384808870 hasPublicationYear "2010" @default.
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