HU Chunyu, LIU Hong, ZHANG Peng. Cooperative Co-evolutionary Artificial Bee Colony Algorithm Based on Hierarchical Communication Model[J]. Chinese Journal of Electronics, 2016, 25(3): 570-576. doi: 10.1049/cje.2016.05.025
Citation: HU Chunyu, LIU Hong, ZHANG Peng. Cooperative Co-evolutionary Artificial Bee Colony Algorithm Based on Hierarchical Communication Model[J]. Chinese Journal of Electronics, 2016, 25(3): 570-576. doi: 10.1049/cje.2016.05.025

Cooperative Co-evolutionary Artificial Bee Colony Algorithm Based on Hierarchical Communication Model

doi: 10.1049/cje.2016.05.025
Funds:  This work is supported by the National Natural Science Foundation of China (No.61472232, No.61272094, No.61202225).
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  • Corresponding author: LIU Hong was born in 1955, is now a professor of computer science in the School of Information Science and Engineering, Shandong Normal University. She received Ph.D. degree from the Chinese Academy of Sciences in 1998. Her main research interests include computational intelligence and cooperative design. (Email: lhsdcn@126.com)
  • Received Date: 2014-09-26
  • Rev Recd Date: 2015-04-21
  • Publish Date: 2016-05-10
  • Canonical Artificial bee colony (ABC) algorithm with a single species is insufficient to extend the diversity of solutions and may be trapped into the local optimal solution. This paper proposes a new co-evolutionary ABC algorithm (HABC) based on Hierarchical communication model (HCM). HCM combines advantages of global and local communication pattern. With adjustment strategies on species and groups, HCM can reduce the computational complexity dynamically. Performance tests show that the HABC algorithm exhibit good performance on accuracy, robustness and convergence speed. Compared with ABC and Integrated co-evolution algorithm (IABC), HABC performs better in solving complex multimodal functions.
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