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
Link To Document :
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