Novel Consensus-Based Particle Swarm Optimization-Guided Surrogate-Enhanced Methodology for Solving Expensive Black-Box OptimizationOA
Novel Consensus-Based Particle Swarm Optimization-Guided Surrogate-Enhanced Methodology for Solving Expensive Black-Box Optimization
Yongfeng Zhang;Zhihao Liu;Kaili Jia;Zhenbin Zhang;Hsiaodong Chiang
School of Electrical Engineering,University of Jinan,Jinan 250022,ChinaSchool of Information Science and Technology,University of Jinan,Jinan 250022,ChinaState Grid Liaocheng Power Supply Company,Liaocheng 252000,ChinaSchool of Electrical Engineering,Shandong University,Jinan 250061,ChinaSchool of Electrical and Computer Engineering,Cornell University,Ithaca,NY 14853,USA
black box optimizationconsensus-based particle swarm optimizationlocal cheap surrogate modelhigh-quality optimal solutions
black box optimizationconsensus-based particle swarm optimizationlocal cheap surrogate modelhigh-quality optimal solutions
《复杂系统建模与仿真（英文）》 2025 (4)
340-353,14
This work was supported in part by the Shandong Province Higher Educational Youth and Innovation Talent Introduction and Education Program,National Key R&D Program of China(No.2022YFB4201700),and Science Fund for Distinguished Young Scholars of Shandong Province(No.ZR2023JQ020).
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