Bacterial foraging optimization based on improved chemotaxis process and novel swarming strategy

Bacterial foraging optimization (BFO), a biological-inspired optimization algorithm, has been applied in various fields, such as complex function optimization, robot path planning. However, there still exist several insufficiencies in BFO algorithm due to the fixed chemotaxis step-size, the less-eff...

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Veröffentlicht in:	Applied intelligence (Dordrecht, Netherlands) Netherlands), 2019-04, Vol.49 (4), p.1283-1305
Hauptverfasser:	Pang, Bao, Song, Yong, Zhang, Chengjin, Wang, Hongling, Yang, Runtao
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial Intelligence Bacteria Computer Science Machines Manufacturing Mechanical Engineering Operators (mathematics) Optimization Particle swarm optimization Path planning Processes Searching Swarming Tumbling
Online-Zugang:	Volltext
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