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· 분류 : 외국도서 > 기술공학 > 기술공학 > 기계공학
· ISBN : 9781041065753
· 쪽수 : 348쪽
· 출판일 : 2025-07-15
목차
1. Introduction? 2. Data-Driven Optimization Framework? 3. Benchmark Functions for Data-Driven Optimization Methods? 4. MSSR: Multi-Start Space Reduction Surrogate-Based Global Optimization Method? 5. SOCE: Surrogate-Based Optimization with Clustering-Based Space Exploration for Expensive Multimodal Problems? 6. HSOSR: Hybrid Surrogate-Based Optimization Using Space Reduction for Expensive Black-Box Functions? 7. MGOSIC: Multi-Surrogate-Based Global Optimization Using a Score-Based Infill Criterion? 8. SCGOSR: Surrogate-Based Constrained Global Optimization Using Space Reduction? 9. KTLBO: Kriging-Assisted Teaching-Learning-Based Optimization to Solve Computationally Expensive Constrained Problems? 10. KDGO: Kriging-Assisted Discrete Global Optimization for Black-Box Problems with Costly Objective and Constraints? 11. SAGWO: Surrogate-Assisted Grey Wolf Optimization for High-Dimensional, Computationally Expensive Black-Box Problems