Dung beetle optimizer: a new meta-heuristic algorithm for global optimization

• Published in: The Journal of supercomputing Vol. 79; no. 7; pp. 7305 - 7336
• Main Authors: Xue, Jiankai, Shen, Bo
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.05.2023; Springer Nature B.V
• Subjects: Accuracy; Algorithms; Compilers; Computer Science; Convergence; Design engineering; Dung; Functions (mathematics); Global optimization; Heuristic methods; Interpreters; Optimization techniques; Processor Architectures; Programming Languages; Rank tests; Series (mathematics); Convergence rate; Engineering applications; Swarm intelligence; Dung beetle optimizer (DBO); Particle swarm optimization (PSO)

In this paper, a novel population-based technique called dung beetle optimizer (DBO) algorithm is presented, which is inspired by the ball-rolling, dancing, foraging, stealing, and reproduction behaviors of dung beetles. The newly proposed DBO algorithm takes into account both the global exploration...