Improved Particle Swarm optimization Base on the Combination of Linear Decreasing and Chaotic Inertia Weights

Particle swarm optimization (PSO) is one of the uncomplicated optimization algorithm, but it also has its disadvantages, such as premature convergence, it is difficult to get the globally optimal solution and it easily falls into local extremes. In this paper, a new PSO is proposed by combining two...

Celý popis

Podrobná bibliografia

Vydané v:	Proceedings (International Confernce on Computational Intelligence and Communication Networks) s. 460 - 465
Hlavní autori:	Nkwanyana, Thamsanqa Bongani, Wang, Zenghui
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 25.09.2020
Predmet:	Chaotic communication Convergence convergence and inertia weight exploration and exploitation globally optimal local extreme Mathematical model Matlab Optimization Particle swarm optimization Simulation
ISSN:	2472-7555
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!