A Reference Vector-Based Simplified Covariance Matrix Adaptation Evolution Strategy for Constrained Global Optimization

During the last two decades, the notion of multiobjective optimization (MOO) has been successfully adopted to solve the nonconvex constrained optimization problems (COPs) in their most general forms. However, such works mainly utilized the Pareto dominance-based MOO framework while the other success...

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Bibliographic Details
Published in:	IEEE transactions on cybernetics Vol. 52; no. 5; pp. 3696 - 3709
Main Authors:	Kumar, Abhishek, Das, Swagatam, Mallipeddi, Rammohan
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.05.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Adaptation Benchmark testing Business competition Constrained optimization Covariance matrices Covariance matrix covariance matrix adaptation evolution strategy (CMA-ES) Cybernetics Decision feedback equalizers Evolutionary algorithms Evolutionary computation Global optimization Maintenance engineering multiobjective optimization (MOO) Multiple objective analysis Optimization Pareto optimization Power flow Ranking reference vector-based ranking (RVRanking) strategy Strategy
ISSN:	2168-2267, 2168-2275, 2168-2275
Online Access:	Get full text
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