Algorithm selection for black-box continuous optimization problems: A survey on methods and challenges

Selecting the most appropriate algorithm to use when attempting to solve a black-box continuous optimization problem is a challenging task. Such problems typically lack algebraic expressions, it is not possible to calculate derivative information, and the problem may exhibit uncertainty or noise. In...

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Vydané v:	Information sciences Ročník 317; s. 224 - 245
Hlavní autori:	Muñoz, Mario A., Sun, Yuan, Kirley, Michael, Halgamuge, Saman K.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Inc 01.10.2015
Predmet:	Algebra Algorithm selection Algorithms Black-box continuous optimization Derivatives Effectiveness Empirical performance models Exploratory landscape analysis Landscapes Optimization Performance prediction Problem hardness measures Skills Statistics Algorithm selection Performance prediction Empirical performance models Exploratory landscape analysis Black-box continuous optimization Problem hardness measures
ISSN:	0020-0255, 1872-6291
On-line prístup:	Získať plný text
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