Surrogate Ensemble-Assisted Hyper-Heuristic Algorithm for Expensive Optimization Problems

Abstract This paper proposes a novel surrogate ensemble-assisted hyper-heuristic algorithm (SEA-HHA) to solve expensive optimization problems (EOPs). A representative HHA consists of two parts: the low-level and the high-level components. In the low-level component, we regard the surrogate-assisted...

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Bibliografiska uppgifter

Huvudupphov:	Rui Zhong, Jun Yu, Chao Zhang, Masaharu Munetomo
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	Springer 2023-10-01
Serie:	International Journal of Computational Intelligence Systems
Ämnen:	Surrogate ensemble-assisted (SEA) Hyper-heuristic algorithm (HHA) Expensive optimization problems (EOPs) High-level and low-level component design
Länkar:	https://doi.org/10.1007/s44196-023-00346-y
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