Earticle

초록

영어

In order to improve the optimum speed, crease the diversity of the population and overcome the premature convergence problem in differential evolution(DE) algorithm for solving the complex optimization problems, the chaotic optimization algorithm with powerful local searching capacity and multi- strategy are introduced into the DE algorithm in order to propose an improved adaptive differential evolution(COMSIADE) algorithm in solving function optimization problems. In the COMSIADE algorithm, the ergodicity, regularity and internal randomness of the chaotic sequence are used to overcome the shortcoming of premature local optimum to improve the global searching capacity of the DE algorithm. The multi-population with parallel evolution is used to preserve the diversity of the population at the initial generation. The self-adaptive crossover operator probability is used to improve the global convergence ability, the stability and robustness. Finally, in order to test and verify the effectiveness of the COMSIADE algorithm, several benchmark functions are selected in this paper. The experimental results indicate that the proposed COMSIADE algorithm can improve the global searching capacity and avoid falling into local optimum. And it takes on the higher searching precision and faster convergence speed in solving the complex optimization problem.

목차

Abstract
 1. Introduction
 2. Chaotic Optimization Algorithm (COA)
 3. Differential Evolution Algorithm
 4. Multi-strategy
  4.1. Multi-population Strategy
  4.2. Adaptive Crossover Probability (CR ) Strategy
 5. An Improved Adaptive Differential Evolution (COMSIADE) Algorithm
 6. Numerical Experiment and Analysis
  6.1. Testing Function
  6.2. Parameter Setting and Run Environment
  6.3. Experimental Results and Analysis
 7. Conclusion
 References

키워드

저자

• Li Huang [ School of Software Engineering, Beijing Jiaotong University, Beijing 100044 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