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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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Principais autores: Rui Zhong, Jun Yu, Chao Zhang, Masaharu Munetomo
Format: Artigo
Jezik:Inglês
Izdano: Springer 2023-10-01
Serija:International Journal of Computational Intelligence Systems
Teme:
Online dostop:https://doi.org/10.1007/s44196-023-00346-y
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