An Algorithm for Many-Objective Optimization With Reduced Objective Computations: A Study in Differential Evolution

In this paper we have developed an algorithm for many-objective optimization problems, which will work more quickly than existing ones, while offering competitive performance. The algorithm periodically reorders the objectives based on their conflict status and selects a subset of conflicting object...

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Bibliographic Details
Published in:	IEEE transactions on evolutionary computation Vol. 19; no. 3; pp. 400 - 413
Main Authors:	Bandyopadhyay, Sanghamitra, Mukherjee, Arpan
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.06.2015 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Convergence Correlation Correlation based ordering Differential Evolution Linear programming Many-Objective Optimization Objectives Optimization Sociology Vectors differential evolution Correlation based ordering many-objective optimization structural optimization elitism
ISSN:	1089-778X, 1941-0026
Online Access:	Get full text
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