| 改进的鸡群优化算法及其在DTI-FA图像配准中的应用 |
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| 引用本文： | 郑伟,蒋晨娇,刘帅奇,赵杰.改进的鸡群优化算法及其在DTI-FA图像配准中的应用[J].计算机科学,2018,45(1):285-291. |
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| 作者姓名： | 郑伟 蒋晨娇 刘帅奇 赵杰 |
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| 作者单位： | 河北大学电子信息工程学院 河北 保定071002河北省数字医疗工程重点实验室 河北 保定071002,河北大学电子信息工程学院 河北 保定071002河北省数字医疗工程重点实验室 河北 保定071002,河北大学电子信息工程学院 河北 保定071002河北省数字医疗工程重点实验室 河北 保定071002,河北大学电子信息工程学院 河北 保定071002河北省数字医疗工程重点实验室 河北 保定071002 |
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| 基金项目： | 本文受国家自然科学基金(61572063,8),河北省自然科学基金(F2016201187,F2016201142),河北省高等学校科学技术研究项目(QN2016085,ZC2016040),河北大学引进人才科研启动经费(2014-303),中西部综合实力提升项目资助 |
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| 摘 要： | 鸡群优化算法(Chicken Swarm Optimization,CSO)是一个全新的群智能优化算法,简单且具有良好的扩展性。针对鸡群优化算法中因为母鸡的寻优能力差而使算法容易陷入局部极值的问题,提出了一种结合混沌思想的改进鸡群优化算法(Chaotic Improved Chicken Swarm Optimization Algorithm,CICSO)。该算法结合混沌思想的遍历性初始化鸡群位置,将母鸡的位置更新公式改为仅向全局适应度值最好的公鸡学习,并引入学习系数来避免陷入局部最优。最后将改进的鸡群优化算法(CICSO)应用于DTI-FA图像配准。仿真实验结果表明,在解决高维问题时,改进的鸡群优化算法避免了陷入局部极值,提高了收敛精度,在DTI-FA图像配准中提高了图像的配准精确度。
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| 关 键 词： | 鸡群优化算法 搜索范围 改进的鸡群优化算法 测试函数 图像配准 |
| 收稿时间： | 2016/12/8 0:00:00 |
| 修稿时间： | 2017/2/24 0:00:00 |
Improved Chicken Swarm Optimization Algorithm and Its Application in DTI-FA Image Registration |
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| ZHENG Wei,JIANG Chen-jiao,LIU Shuai-qi and ZHAO Jie.Improved Chicken Swarm Optimization Algorithm and Its Application in DTI-FA Image Registration[J].Computer Science,2018,45(1):285-291. |
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| Authors: | ZHENG Wei JIANG Chen-jiao LIU Shuai-qi and ZHAO Jie |
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| Affiliation: | College of Electronic and Information Engineering,Hebei University,Baoding,Hebei 071002,China Key Laboratory of Digital Medical Engineering of Hebei Province,Baoding,Hebei 071002,China,College of Electronic and Information Engineering,Hebei University,Baoding,Hebei 071002,China Key Laboratory of Digital Medical Engineering of Hebei Province,Baoding,Hebei 071002,China,College of Electronic and Information Engineering,Hebei University,Baoding,Hebei 071002,China Key Laboratory of Digital Medical Engineering of Hebei Province,Baoding,Hebei 071002,China and College of Electronic and Information Engineering,Hebei University,Baoding,Hebei 071002,China Key Laboratory of Digital Medical Engineering of Hebei Province,Baoding,Hebei 071002,China |
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| Abstract: | Chicken swarm optimization algorithm(CSO) is a new swarm intelligence optimization algorithm,which has the characteristics of simple and good scalability.In view of the problem that the chicken swarm optimization algorithm is easy to fall into the local extremum for a hen has poor optimization ability,a chaotic improved chicken swarm optimization algorithm (CICSO) was proposed.In this algorithm,the position of chicken is initialized by the ergodicity of the chaotic idea,and the position updating formula of the hen is changed to the rooster with the best global fitness value.In addition,the learning factor is introduced to avoid the local optimum.At last,the improved algorithm (CICSO) was applied to DTI-FA image registration.Simulation results show that the improved algorithm can avoid falling into local extremum,improves the convergence precision and the registration accuracy of the image in the DTI-FA image registration. |
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| Keywords: | Chicken swarm optimization Search scope Chaotic improved chicken swarm optimization Test functions Image registration |
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