Earticle

초록

영어

To further improve the performance of artificial bee colony algorithm (ABC), an improved ABC (IABC) algorithm is proposed for global optimization via employing orthogonal initialization method. Furthermore, to balance the exploration and exploitation abilities, a new search mechanism is also designed. The performance of this algorithm is verified by using 27 benchmark functions. And the comparison analyses are given between the proposed algorithm and other nature-inspired algorithms. Numerical results demonstrate that the proposed algorithm outperforms the original ABC algorithm and other algorithms for global optimization problems.

목차

Abstract
 1. Introduction
 2. Overview of Artificial Bee Colony Algorithm
 3. Improved Artificial Bee Colony Algorithm
  3.1 Orthogonal initialization
  3.2 New Search Mechanism
  3.3 The proposed algorithm
 4. Numerical Experiments
  4.1 Test functions
  4.2 Effects of selective probability p
  4.3 Comparison of IABC with ABC
  4.4 Comparison of IABC with other algorithms
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• Xiangyu Kong [ Department of Applied Mathematics, Xidian University, Xi’an 710071, China, Institute of Information and System Computation Science, Beifang University of Nationalities, Yinchuan 750021, China ] Corresponding author
• Sanyang Liu [ Department of Applied Mathematics, Xidian University, Xi’an 710071, China ]
• Zhen Wang [ Institute of Information and System Computation Science, Beifang University of Nationalities, Yinchuan 750021, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605