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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Vydáno v:	IEEE transactions on cybernetics Ročník 52; číslo 5; s. 3696 - 3709
Hlavní autoři:	Kumar, Abhishek, Das, Swagatam, Mallipeddi, Rammohan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States IEEE 01.05.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	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
On-line přístup:	Získat plný text
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