Research of Path Planning Problems Based on Improved Particle Swarm Optimizer

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Research of Path Planning Problems Based on Improved Particle Swarm Optimizer

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[1]LIANG Jing,SONG Hui,QU Boyang,et al.Research of Path Planning Problems Based on Improved Particle Swarm Optimizer[J].Journal of Zhengzhou University (Engineering Science),2014,35(01):34-38.[doi:10.3969/j.issn.1671-6833.2014.01.008]

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Journal of Zhengzhou University (Engineering Science)[ISSN 1671-6833/CN 41-1339/T] Volume: 35 Number of periods: 2014 01 Page number: 34-38 Column: Public date: 2014-02-28

Title:: Research of Path Planning Problems Based on Improved Particle Swarm Optimizer

Author(s):: LIANG Jing; SONG Hui; QU Boyang; MAO Xiaobo; 1.School of Eleetrical Engineering, 2hengzhou tniversity, Zhengzhou 450001, China; 2. Sehool of Electrie and informationEngineering,Zhongyuan University of Technology, Zhengzhou 450007,China

Keywords:: constraint mechanism: dynamie multi-swarm particle swarm oplimizer: bezier curves

CLC:: -

DOI:: 10.3969/j.issn.1671-6833.2014.01.008

Abstract:: This paper deseribes that dynamie constraint mechanism and improved Partiele Swarm Oplimizer(Dynamie Multi-Swarm Particle Swarm Optimizer with Crossover) are combined to solve path planning prob.lems combining with Bezier curves. Diflerent algorithms are used to test charaeteristies of the eurves in thepath planning proeess and Bezier curve is used to deseribe the path. The results show that the DMS-pS0 over-.comes the phenomenon of preeocious and easy convergenee compared with standard PSO, and constraint mech-anism improves performanee of the oplimization algorithm which is combined with erossover, ean deal with theconstraints fexibly and overeomes the shorteomings of statie penalty funetion.

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