A Novel Meta-heuristic Algorithm for Numerical and Engineering Optimization Problems:Piranha Foraging Optimization Algorithm (PFOA)

This paper provides a novel meta-heuristic optimization algorithm for solving continuous optimization problems efficiently in the field of numerical and engineering optimization: Piranha Foraging Optimization Algorithm (PFOA). The algorithm is inspired by the flexible and mobile foraging behaviour o...

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Veröffentlicht in:	IEEE access Jg. 11; S. 1
Hauptverfasser:	Cao, Shuai, Qian, Qian, Cao, Yongjun, Li, Wenwei, Huang, Weixi, Liang, Jianan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.01.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Biomimetics Bionic Algorithms bionic inspired algorithms Classification algorithms Clustering algorithms Convergence Design engineering Design optimization Foraging behavior Heuristic methods Impact analysis Meta-heuristic Algorithms Metaheuristics Nonlinear control Optimization algorithms Parameter sensitivity Particle swarm optimization Piranha Foraging Optimization Algorithm (PFOA) Searching Statistical methods Statistics Swarm Intelligence
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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