Earticle

초록

영어

In order to improve the weak situation of the global search ability, the stability and time consuming of optimization of differential evolution(DE) algorithm in solving high dimensional optimization problem, an improved differential evolution algorithm with multi- population and multi-strategy(MPMSIDE) is proposed to solve high dimensional optimization problem. Firstly, the different DE mutation strategies are studied. Then the MPMSIDE algorithm divides the population into several sub-populations, which evolve independently and communicate with each other at regular intervals by using different DE strategies, in order to save the computation time. And the improved mutation strategy and local optimization strategy are introduced to raise and balance the global searching ability and local searching ability, and improve the optimization efficiency. The selfadaptive update strategy is used to adjust the scaling factor and crossover factor for making the parameter sensitivity of DE algorithm and improving the stability and robustness. Finally, the proposed MPMSIDE algorithm is applied to standard test function optimization for verifying the effectiveness. The experimental results show that the proposed MPMSIDE algorithm has a relatively better optimization performance for solving complex optimization problem, and takes on remarkable optimizing ability, higher searching accuracy and faster convergence speed.

목차

Abstract
 1. Introduction
 2. Differential Evolution
  2.1. Initialization
  2.2. Mutation
  2.3. Crossover
  2.4 Selection
 3. An Improved DE Algorithm with Multi-population and Multi-Strategy (MPMSIDE)
  3.1. The Idea of MPMSIDE Algorithm
  3.2. The Flow of MPMSIDE Algorithm
 4. The Results of Testing and Analyzing MPMSIDE Algorithm
 5. Conclusion
 ACKNOWLEDGEMENTS
 References

키워드

저자

• Chunfeng Song [ The Institute of Electric and Control Engineering, Xi’an University of Science and Technology, Xi’an 710054 China ]
• Yuanbin Hou [ The Institute of Electric and Control Engineering, Xi’an University of Science and Technology, Xi’an 710054 China ]

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