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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/20904

Title: Differential evolution with an individual-dependent mechanism
Authors: Tang, Lixin
Dong, Yun
Liu, Jiyin
Keywords: Differential evolution (DE)
Global numerical optimization
Individual dependent
Mutation strategy
Parameter setting
Issue Date: 2015
Publisher: © IEEE
Citation: TANG, L., DONG, Y. and LIU, J., 2015. Differential evolution with an individual-dependent mechanism. IEEE Transactions on Evolutionary Computation, 19 (4), pp.560-574.
Abstract: Differential evolution (DE) is a well-known optimization algorithm that utilizes the difference of positions between individuals to perturb base vectors and thus generate new mutant individuals. However, the difference between the fitness values of individuals, which may be helpful to improve the performance of the algorithm, has not been used to tune parameters and choose mutation strategies. In this paper, we propose a novel variant of DE with an individual-dependent mechanism that includes an individual-dependent parameter (IDP) setting and an individual-dependent mutation (IDM) strategy. In the IDP setting, control parameters are set for individuals according to the differences in their fitness values. In the IDM strategy, four mutation operators with different searching characteristics are assigned to the superior and inferior individuals, respectively, at different stages of the evolution process. The performance of the proposed algorithm is then extensively evaluated on a suite of the 28 latest benchmark functions developed for the 2013 Congress on Evolutionary Computation special session. Experimental results demonstrate the algorithm's outstanding performance.
Description: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Version: Accepted for publication
DOI: 10.1109/TEVC.2014.2360890
URI: https://dspace.lboro.ac.uk/2134/20904
Publisher Link: http://dx.doi.org/10.1109/TEVC.2014.2360890
ISSN: 1089-778X
Appears in Collections:Published Articles (Business School)

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