Abstract
Since the original artificial bee colony algorithm shows the disadvantages of low optimization accuracy and slow convergence speed, the paper proposes a chaotic based artificial bee colony algorithm (CABC). Based compare the achievements of four chaotic maps based improved ABCs, the improved algorithm based on a Chebyshev chaotic operator is introduced to balance its global and local searches. In addition, considering that the step size of the search has a great influence on the process of optimization, the paper finds the best suitable range of search step value on chaotic operation by experimental results. In the experimental part, we test our algorithm with the traditional artificial bee algorithm and some improved artificial bee colony published in recent years on six representative basic functions. The experimental results verify the great performance of our CABC algorithm.
| Original language | English |
|---|---|
| Title of host publication | ITT 2018 - Information Technology Trends: Emerging Technologies for Artificial Intelligence |
| Pages | 165-169 |
| DOIs | |
| Publication status | Published - Nov 2018 |
| Externally published | Yes |
Bibliographical note
This work was support in part by the National Nature Science Foundation of China (No. 61571236). Postgraduate Research & Practice Innovation Program of Jiangsu Province (SJCX18_0300 and KYCX18_0929).Keywords
- Artificial bee colony
- chaotic search
- function optimization
- global optimum