An R2 indicator and weight vector-based evolutionary algorithm for multi-objective optimization

A two-stage R2 indicator-based evolution algorithm (TS-R2EA) was proposed in the recent years. A good balance between convergence and diversity can be achieved, due to the R2 indicator and reference vector-guided selection strategy. However, TSR2-EA is sensitive to problem geometries. In order to ad...

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Veröffentlicht in:	Soft computing (Berlin, Germany) Jg. 24; H. 7; S. 5079 - 5100
Hauptverfasser:	Liu, Yuanchao, Liu, Jianchang, Li, Tianjun, Li, Qian
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.04.2020 Springer Nature B.V
Schlagworte:	Approximation Artificial Intelligence Business metrics Computational Intelligence Control Decomposition Engineering Evolutionary algorithms Genetic algorithms Mathematical Logic and Foundations Mechatronics Methodologies and Application Monte Carlo simulation Multiple objective analysis Optimization Robotics Strategy Utility functions R2 indicator Weight vector adaption Multi-objective optimization Evolutionary algorithm
ISSN:	1432-7643, 1433-7479
Online-Zugang:	Volltext
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