EDA++: Estimation of Distribution Algorithms With Feasibility Conserving Mechanisms for Constrained Continuous Optimization

Handling nonlinear constraints in continuous optimization is challenging, and finding a feasible solution is usually a difficult task. In the past few decades, various techniques have been developed to deal with linear and nonlinear constraints. However, reaching feasible solutions has been a challe...

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Bibliographic Details
Published in:	IEEE transactions on evolutionary computation Vol. 26; no. 5; pp. 1144 - 1156
Main Authors:	Shirazi, Abolfazl, Ceberio, Josu, Lozano, Jose A.
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.10.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Clustering Codes Computational modeling Constraints continuous optimization estimation of distribution algorithms (EDAs) Feasibility mapping Mathematical models nonlinear constraints Optimization Probabilistic logic seeding Sociology Statistics
ISSN:	1089-778X, 1941-0026
Online Access:	Get full text
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