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...

Celý popis

Podrobná bibliografia

Vydané v:	Swarm and evolutionary computation Ročník 67; s. 100960
Hlavní autori:	Falcón-Cardona, Jesús Guillermo, Hernández Gómez, Raquel, Coello Coello, Carlos A., Castillo Tapia, Ma. Guadalupe
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.12.2021
Predmet:	Evolutionary algorithms Multi-objective optimization Parallel computing 99-00 Parallel computing Multi-objective optimization Evolutionary algorithms 00-01
ISSN:	2210-6502
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!