Quadratic particle swarm optimization for weight optimization

  • Authors:

  • He Jing;Shi Dejia;Wang Li

  • Affiliations:

  • School of Computer and Electronic Engineering, Hunan University of Commerce, Changsha, China;School of Computer and Electronic Engineering, Hunan University of Commerce, Changsha, China;School of Computer and Electronic Engineering, Hunan University of Commerce, Changsha, China

  • Venue:
  • IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
  • Year:
  • 2009

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Abstract

Particle Swarm Optimization algorithm was developed under the inspiration of behavior laws of bird flocks, fish schools and human communities. Aiming at the disadvantages of Particle Swarm Optimization algorithm like being trapped easily into a local optimum, this paper improves the standard PSO and proposes a new algorithm to solve the overcomes of the standard PSO. This paper improved the standard PSO's evolution equation on the foundation of analyzing standard PSO's model and its mechanisms, and then presents a Quadratic PSO. The simulation illustrates the Quadratic PSO improves the performance of the PSO We use the new algorithm for the weight optimization in college student evaluation, and compared with PSO; the results show that the new algorithm is efficient.