Nature-inspired optimization algorithms: Challenges and open problems

• Published in: Journal of computational science Vol. 46; p. 101104
• Main Author: Yang, Xin-She
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.10.2020
• Subjects: Algorithm; Bat algorithm; Convergence; Cuckoo search; Differential evolution; Firefly algorithm; Flower pollination algorithm; Metaheuristic; Nature-inspired computation; Optimization; Particle swarm optimization; Stability; Swarm intelligence; Cuckoo search; Stability; Flower pollination algorithm; Algorithm; Particle swarm optimization; Optimization; Convergence; Nature-inspired computation; Metaheuristic; Bat algorithm; Firefly algorithm; Differential evolution; Swarm intelligence

•An in-depth review of nature-inspired algorithms for optimization.•Analyze different algorithms from different perspectives.•Highlight challenging issues and open problems. Many problems in science and engineering can be formulated as optimization problems, subject to complex nonlinear constraints....