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

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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Bibliographic Details
Main Authors: Zan Yang, Chen Jiang, Jiansheng Liu
Format: Article
Language:English
Published: Springer 2025-01-01
Series:Complex & Intelligent Systems
Subjects:
Expensive constrained optimization
Radial basis function
Dynamic population
Sandwich structures
Online Access:https://doi.org/10.1007/s40747-024-01745-0
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https://doi.org/10.1007/s40747-024-01745-0

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