Recent Studies on Chicken Swarm Optimization algorithm: a review (2014–2018)

Solving a complex optimization problem in a limited timeframe is a tedious task. Conventional gradient-based optimization algorithms have their limitations in solving complex problems such as unit commitment, microgrid planning, vehicle routing, feature selection, and community detection in social n...

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Veröffentlicht in:	The Artificial intelligence review Jg. 53; H. 3; S. 1737 - 1765
Hauptverfasser:	Deb, Sanchari, Gao, Xiao-Zhi, Tammi, Kari, Kalita, Karuna, Mahanta, Pinakeswar
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Dordrecht Springer Netherlands 01.03.2020 Springer Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Biology Birds Computer Science Distributed generation Feature selection Food Foraging behavior Genetic algorithms Heuristic Heuristic methods Mathematical optimization Mechanical engineering Meta-analysis Optimization Optimization algorithms Poultry Route planning Social networks Unit commitment Variants Vehicle routing Optimization algorithm Review Nature inspired intelligence Applications Chicken Swarm Optimization algorithm
ISSN:	0269-2821, 1573-7462
Online-Zugang:	Volltext
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