Automatically Designing State-of-the-Art Multi- and Many-Objective Evolutionary Algorithms

A recent comparison of well-established multiobjective evolutionary algorithms (MOEAs) has helped better identify the current state-of-the-art by considering (i) parameter tuning through automatic configuration, (ii) a wide range of different setups, and (iii) various performance metrics. Here, we a...

Celý popis

Podrobná bibliografia

Vydané v:	Evolutionary computation Ročník 28; číslo 2; s. 195
Hlavní autori:	Bezerra, Leonardo C T, López-Ibáñez, Manuel, Stützle, Thomas
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States 01.06.2020
Predmet:	Algorithms Automation Biological Evolution automatic algorithm design Multiobjective optimization evolutionary algorithms
ISSN:	1530-9304, 1530-9304
On-line prístup:	Zistit podrobnosti o prístupe
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!