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Title of Journal: Neural Comput Applic

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Abbravation: Neural Computing and Applications

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Publisher

Springer London

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DOI

10.1007/bf03051175

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ISSN

1433-3058

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Multiobjective particle swarmdifferential evolut

Authors: Yixin Su Rui Chi
Publish Date: 2015/10/29
Volume: 28, Issue: 2, Pages: 407-418
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Abstract

A multiobjective particle swarmdifferential evolution algorithm MOPSDE is proposed that combined a particle swarm optimization PSO with a differential evolution DE During consecutive generations a scale factor is produced by using a proposed mechanism based on the simulated annealing method and is applied to dynamically adjust the percentage of use of PSO and DE In addition the mutation operation of DE is improved to satisfy that the proposed algorithm has different mutation operation in different searching stage As a result the capability of the local searching is enhanced and the prematurity of the population is restrained The effectiveness of the proposed method has been validated through comprehensive tests using benchmark test functions The numerical results obtained by this algorithm are compared with those obtained by the improved nondominated sorting genetic algorithm NSGAII and the other algorithms mentioned in the literature The results show the effectiveness of the proposed MOPSDE algorithm

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