Local Search-Inspired Rough Sets for Improving Multiobjective Evolutionary Algorithm

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ISSN Print: 2152-7385
ISSN Online: 2152-7393
www.scirp.org/journal/am
E-mail: am@scirp.org

"Local Search-Inspired Rough Sets for Improving Multiobjective Evolutionary Algorithm"
written by Ahmed A. EL-Sawy, Mohamed A. Hussein, El-Sayed Mohamed Zaki, Abd Allah A. Mousa,
published by Applied Mathematics, Vol.5 No.13, 2014

has been cited by the following article(s):

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[2]	Study on multi-objective nonlinear programming problem with rough parameters Journal of Intelligent & Fuzzy Systems, 2022 DOI:10.3233/JIFS-211747

[3]	An Improved Multi-Objective Particle Swarm Optimization Based on Utopia Point Guided Search International Journal of Applied Metaheuristic Computing, 2018 DOI:10.4018/IJAMC.2018100104

[4]	An Improved Multi-Objective Particle Swarm Optimization Algorithm Based on Adaptive Local Search International Journal of Applied Evolutionary Computation, 2017 DOI:10.4018/IJAEC.2017040101

[5]	A Multi-objective Metaheuristic Approach to Search-Based Stress Testing 2017 IEEE International Conference on Computer and Information Technology (CIT), 2017 DOI:10.1109/CIT.2017.19

[6]	An Improved SPEA2 Algorithm with Adaptive Selection of Evolutionary Operators Scheme for Multiobjective Optimization Problems Mathematical Problems in Engineering, 2016 DOI:10.1155/2016/8010346

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