Nature-inspired optimization algorithms: Challenges and open problems

•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....

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Veröffentlicht in:	Journal of computational science Jg. 46; S. 101104
1. Verfasser:	Yang, Xin-She
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.10.2020
Schlagworte:	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
ISSN:	1877-7503, 1877-7511
Online-Zugang:	Volltext
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