Computationally expensive constrained problems via surrogate-assisted dynamic population evolutionary optimization

Abstract This paper proposes a surrogate-assisted dynamic population optimization algorithm (SDPOA) for the purpose of solving computationally expensive constrained optimization problems, in which the population is dynamically updated based on the real-time iteration information to achieve targeted...

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Hlavní autoři:	Zan Yang, Chen Jiang, Jiansheng Liu
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Springer 2025-01-01
Edice:	Complex & Intelligent Systems
Témata:	Expensive constrained optimization Radial basis function Dynamic population Sandwich structures
On-line přístup:	https://doi.org/10.1007/s40747-024-01745-0
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