Electric fish optimization: a new heuristic algorithm inspired by electrolocation

Swarm behaviors in nature have inspired the emergence of many heuristic optimization algorithms. They have attracted much attention, particularly for complex problems, owing to their characteristics of high dimensionality, nondifferentiability, and the like. A new heuristic algorithm is proposed in...

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Veröffentlicht in:	Neural computing & applications Jg. 32; H. 15; S. 11543 - 11578
Hauptverfasser:	Yilmaz, Selim, Sen, Sevil
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.08.2020 Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Clustering Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Computer simulation Data Mining and Knowledge Discovery Evolutionary algorithms Evolutionary computation Fish Functions (mathematics) Genetic algorithms Heuristic Heuristic methods Image Processing and Computer Vision Mathematical functions Optimization Original Article Particle swarm optimization Probability and Statistics in Computer Science Simulated annealing Swarm intelligence Real-world applications Heuristics Single-solution algorithms Swarm intelligence Nature-inspired algorithm Real parameter optimization Population-based algorithms
ISSN:	0941-0643, 1433-3058
Online-Zugang:	Volltext
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