期刊
AUTOMATIKA
卷 60, 期 4, 页码 422-431出版社
KOREMA
DOI: 10.1080/00051144.2019.1639118
关键词
Ternary optical computer; parallel computing; swarm intelligence; artificial bee colony algorithm
资金
- National Natural Science Foundation of China [61866006, 61741203]
- Innovation Foundation of the Second Institute of China Aerospace Science and Technology Corporation
- Natural Science Foundation of Shanghai [15ZR1415400]
- Special Research Programof Shanghai [15700500400]
- Natural Science Foundation of Guangxi Province [2016GXNSFAA380243]
The artificial bee colony (ABC) algorithm is a widely used algorithm in the field of function optimization problems. The traditional ABC algorithm has long search time, slow convergence speed and easy to fall into local optimum at the end of the search. In this paper, the design scheme and method of implementing parallel ABC algorithm are studied, which makes use of the characteristics of many data bits and easy expansion of data bits of the ternary optical computer (TOC). First, by analysing the traditional ABC algorithm, we can find the parallel parts and parallel design. Then the detailed algorithm implementation flow is given and the clock cycle of the algorithm is analysed. Finally, the correctness of the parallel scheme is verified by experiments. Compared with the ABC algorithm and parallel ABC algorithms based on computer (PABC), the ABC algorithm based on TOC (TOC-PABC) effectively shortens the search time, improves the optimization performance of complex multimodal function optimization problems and obtains a higher speedup.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据