A novel hybrid hypervolume indicator and reference vector adaptation strategies based evolutionary algorithm for many-objective optimization

A novel hybrid many-objective evolutionary algorithm called Reference Vector Guided Evolutionary Algorithm based on hypervolume indicator (H-RVEA) is proposed in this paper. The reference vectors are used in a number of sub-problems to decompose the optimization problem. An adaptation strategy is us...

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Vydáno v:	Engineering with computers Ročník 37; číslo 4; s. 3017 - 3035
Hlavní autoři:	Dhiman, Gaurav, Soni, Mukesh, Pandey, Hari Mohan, Slowik, Adam, Kaur, Harsimran
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London Springer London 01.10.2021 Springer Nature B.V
Témata:	Adaptation CAE) and Design Calculus of Variations and Optimal Control; Optimization Classical Mechanics Computer Science Computer-Aided Engineering (CAD Control Evolutionary algorithms Genetic algorithms Math. Applications in Chemistry Mathematical and Computational Engineering Multiple objective analysis Optimization Original Article Statistical tests Systems Theory Pareto optimality Hypervolume estimation algorithm Many-objective optimization Reference vector guided evolutionary algorithm Constrained optimization
ISSN:	0177-0667, 1435-5663
On-line přístup:	Získat plný text
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