Earticle

초록

영어

Particle swarm optimization (PSO) algorithm is a population-based search algorithm by simulating the social behavior of birds within a flock. It is a simple and efficient optimization algorithm. But it exists the low computational speed and easy falling into local optimal solution in solving the complex problem. So the quantum theory, adaptive inertia weight, disturbance factor and diversity mutation strategy are introduced into the PSO algorithm in order to propose an improved PSO(IWDMDQPSO) algorithm in this paper. In the IWDMDQPSO algorithm, the quantum theory is used to change the updating mode of the particles for guaranteeing the simplification and effectiveness of the algorithm. The adaptive inertia weight is used to improve the premature convergence of the algorithm. The disturbance factor is used to avoid the premature of the algorithm. The diversity mutation strategy is used to improve the global searching ability and computation speed. Finally, the famous benchmark functions are selected to prove the performance and effectiveness of the proposed IWDMDQPSO algorithm. The experiment results show that the proposed IWDMDQPSO algorithm takes on better solving accuracy and higher computation speed in solving the complex function. So it has a remarkable optimization performance.

목차

Abstract
 1. Introduction
 2. Particle Swarm Optimization (PSO) Algorithm
 3. The Quantum PSO Algorithm
 4. The Description of Multi Strategies
  4.1. Adaptive Inertia Weight
  4.2 The Disturbance Factor
  4.3. The Diversity Mutation Strategy
 5. An Improved QPSO (IWDMDQPSO) Algorithm Based on the Multi Strategies
 6. Experiment and Results
  6.1. Test Function and Test Environment
  6.2. Test Results and Analysis
 7. Conclusion
 Acknowledgments
 References

키워드

저자

• Mengxing Li [ School of Communication and Electronic Engineering, Hunan City University, Yiyang,Hunan 41300 China ]
• Zhuo Wan [ School of Communication and Electronic Engineering, Hunan City University Yiyang, Hunan 41300 China ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605