Parallel Multi-Objective Evolutionary Algorithms: A Comprehensive Survey

Multi-Objective Evolutionary Algorithms (MOEAs) are powerful search techniques that have been extensively used to solve difficult problems in a wide variety of disciplines. However, they can be very demanding in terms of computational resources. Parallel implementations of MOEAs (pMOEAs) provide con...

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Bibliographic Details

Published in:	Swarm and evolutionary computation Vol. 67; p. 100960
Main Authors:	Falcón-Cardona, Jesús Guillermo, Hernández Gómez, Raquel, Coello Coello, Carlos A., Castillo Tapia, Ma. Guadalupe
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.12.2021
Subjects:	Evolutionary algorithms Multi-objective optimization Parallel computing 99-00 Parallel computing Multi-objective optimization Evolutionary algorithms 00-01
ISSN:	2210-6502
Online Access:	Get full text
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