Adaptive local landscape feature vector for problem classification and algorithm selection

Fitness landscape analysis is a data-driven technique to study the relationship between problem characteristics and algorithm performance by characterizing the landscape features in the search space of an optimization problem. However, most of the existing landscape features still face poor in class...

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Veröffentlicht in:	Applied soft computing Jg. 131; S. 109751
Hauptverfasser:	Li, Yaxin, Liang, Jing, Yu, Kunjie, Chen, Ke, Guo, Yinan, Yue, Caitong, Zhang, Leiyu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.12.2022
Schlagworte:	Algorithm selection Continuous optimization Fitness landscape Population-based algorithm Problem classification Problem classification Algorithm selection Continuous optimization Fitness landscape Population-based algorithm
ISSN:	1568-4946, 1872-9681
Online-Zugang:	Volltext
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