Earticle

초록

영어

Based on particle swarm optimization (PSO) algorithm and its power system reactive power optimization method to in-depth study and research proposed a new hybrid particle swarm optimization algorithm (HPSO). Algorithm combines the differential evolution algorithm and simulated annealing algorithm and particle swarm optimization algorithm, in particle searching optimal except for tracking individual and global, and tracks produced by particle information difference of the three value. At the same time, when the particle search space of one dimension speed lower than the setting value will be re initialized the dimensional particle velocity and the particle of differential evolution mutation. For the crossover and mutation operations, new solution may be worse than the original solution to, the introduction of simulated annealing algorithm, the metropolis rule in a certain extent accept bad solutions, allows the target function in a certain degree of deterioration, practical calculation is not according to the probability to choose the poor solution, but rather the judgment target function difference is less than allows the target function deterioration range. Hybrid particle swarm optimization algorithm combines the advantages of particle swarm optimization algorithm, differential evolution algorithm and simulated annealing algorithm, to maintain the diversity of particles, has very strong practicability.

목차

Abstract
 I. Introduction
 II. The Relevant Thoery
  A. Mathematical description of PSO algorithm
  B. PSO algorithm flow
  C. Mathematical model of optimization
 III. Parameters of Improved Particle Swarm Optimization
  A. Improved particle swarm optimization algorithm
  B. The method of selecting parameters
  C. Calculation steps and flow chart
 IV. Experimental Results
  A. Test result analysis of algorithm
  B. Experimental results and analysis
 V. Conclusions
 References

키워드

저자

• Yuhuai Wang [ Qianjiang College, Hangzhou Normal University, Hangzhou 310036, China ]
• Qihui Wang [ Qianjiang College, Hangzhou Normal University, Hangzhou 310036, China ] Corresponding author
• Huixi Zhang [ Qianjiang College, Hangzhou Normal University, Hangzhou 310036, China ]
• Kang An [ Qianjiang College, Hangzhou Normal University, Hangzhou 310036, China ]
• Xia Ye [ Qianjiang College, Hangzhou Normal University, Hangzhou 310036, China ]
• Yaping Sun [ Qianjiang College, Hangzhou Normal University, Hangzhou 310036, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Grid and Distributed Computing

• 간기

  격월간

• pISSN

  2005-4262

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605