A Simple and Fast Hypervolume Indicator-Based Multiobjective Evolutionary Algorithm

To find diversified solutions converging to true Pareto fronts (PFs), hypervolume (HV) indicator-based algorithms have been established as effective approaches in multiobjective evolutionary algorithms (MOEAs). However, the bottleneck of HV indicator-based MOEAs is the high time complexity for measu...

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Bibliographic Details
Published in:	IEEE transactions on cybernetics Vol. 45; no. 10; pp. 2202 - 2213
Main Authors:	Siwei Jiang, Jie Zhang, Yew-Soon Ong, Zhang, Allan N., Puay Siew Tan
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.10.2015 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Evolutionary computation Genetic algorithms Hypervolume (HV) indicator-based jMetal Joints Laboratories multiobjective evolutionary algorithms (MOEAs) Optimization algorithms Pareto dominance-based scalarizing function-based Sociology Statistics Time complexity Vectors scalarizing function-based jMetal multiobjective evolutionary algorithms (MOEAs) indicator-based Hypervolume (HV) Pareto dominance-based
ISSN:	2168-2267, 2168-2275, 2168-2275
Online Access:	Get full text
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