A novel convergent filled function algorithm for multi-dimensional global optimization

• Published in: Optimization Vol. 72; no. 10; pp. 2547 - 2560
• Main Authors: Qu, Deqiang, Li, Junxiang, Shang, Youlin, Wu, Dan, Fang, Zisen
• Format: Journal Article
• Language: English
• Published: Philadelphia Taylor & Francis 03.10.2023; Taylor & Francis LLC
• Subjects: Algorithms; Convergence; Convexity; coordinates rotate; filled function; global optimal solution; Global optimization; Mathematical analysis; Multi-dimensional optimization problem; Optimization

As we all know, the filled function method as an effective algorithm to solve global optimization problems can overcome the defect that the non-linear algorithm is trapped in the local minimizer and cannot jump to attach the global minimizer, which has attracted the attention of researchers. However...