A new particle swarm optimization algorithm for noisy optimization problems

We propose a new particle swarm optimization algorithm for problems where objective functions are subject to zero-mean, independent, and identically distributed stochastic noise. While particle swarm optimization has been successfully applied to solve many complex deterministic nonlinear optimizatio...

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Veröffentlicht in:	Swarm intelligence Jg. 10; H. 3; S. 161 - 192
Hauptverfasser:	Taghiyeh, Sajjad, Xu, Jie
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.09.2016 Springer Nature B.V
Schlagworte:	Artificial Intelligence Communications Engineering Computer Communication Networks Computer Science Computer Systems Organization and Communication Networks Mathematical and Computational Engineering Networks Noise Optimization algorithms Statistical analysis Noisy optimization Clustering Particle swarm optimization Subset selection Optimality gap
ISSN:	1935-3812, 1935-3820
Online-Zugang:	Volltext
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