A Review of Population-Based Metaheuristics for Large-Scale Black-Box Global Optimization-Part I

• Published in: IEEE transactions on evolutionary computation Vol. 26; no. 5; pp. 802 - 822
• Main Authors: Omidvar, Mohammad Nabi, Li, Xiaodong, Yao, Xin
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.10.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Black-box optimization; Buildings; Combinatorial analysis; Couplings; evolutionary optimization; Genetic algorithms; Global optimization; Heuristic methods; large-scale global optimization; Machine learning; Memetics; metaheuristics; Optimization; Optimization algorithms; Scalability; Search problems
• ISSN: 1089-778X; 1941-0026
• DOI: 10.1109/TEVC.2021.3130838

Scalability of optimization algorithms is a major challenge in coping with the ever-growing size of optimization problems in a wide range of application areas from high-dimensional machine learning to complex large-scale engineering problems. The field of large-scale global optimization is concerned...