원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.6 No.6
2013.12
pp.259-274
피인용수 : 0건 (자료제공 : 네이버학술정보)
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
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
저자정보
참고문헌
자료제공 : 네이버학술정보