DocumentCode
256716
Title
A New PSO Algorithm LM Operator Embedded in for Solving Systems of Nonlinear Equations
Author
Guang Xu ; Guocai Hu ; Junfeng Chen
Author_Institution
Dept. of Airborne Vehicle Eng., Naval Aeronaut. & Aetronautical Univ., Yantai, China
Volume
2
fYear
2014
fDate
26-27 Aug. 2014
Firstpage
142
Lastpage
145
Abstract
Aimed at the widespread significance of solving high dimensional nonlinear equations in practical engineering, for the faultiness of classical methods about initial value sensitivity, systems of nonlinear equations are transformed to function optimization, combining with the advantages of PSO, SA and LM, a new method is proposed, in which, according to the idea of SA, LM operator is embedded in PSO. Besides, adaptive damp factor is led into LM operator, which improves efficiency of convergence. The method takes full advantages of above three methods, solving the problems such as initial value sensitivity of LM and falling into local extreme value of PSO. Experimental results of comparing with other methods show that the proposed method has reliable convergence probability and high computation rate, which is an effective method of dealing with systems of nonlinear equations in practical engineering.
Keywords
nonlinear equations; particle swarm optimisation; statistical analysis; LM operator; Levenberg-Marquadt operator; PSO algorithm; adaptive damp factor; convergence probability; function optimization; initial value sensitivity; nonlinear equations; particle swarm optimization; Algorithm design and analysis; Convergence; Damping; Genetic algorithms; Nonlinear equations; Optimization; Reliability; LM optimization; PSO; SA; embedded operator; systems of nonlinear equations;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2014 Sixth International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-4799-4956-4
Type
conf
DOI
10.1109/IHMSC.2014.137
Filename
6911468
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