| 解空间定向优化的快速免疫算法研究及其应用 |
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| 引用本文： | 程呈,高敏,刘晓光,周晗. 解空间定向优化的快速免疫算法研究及其应用[J]. 控制与决策, 2017, 32(7): 1241-1246 |
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| 作者姓名： | 程呈 高敏 刘晓光 周晗 |
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| 作者单位： | 军械工程学院导弹工程系精确制导技术研究所,石家庄050003,军械工程学院导弹工程系精确制导技术研究所,石家庄050003,军械工程学院 电子与光学工程系,石家庄050003,中国人民解放军驻七八九工厂军事代表室,重庆400060 |
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| 基金项目： | 国家自然科学基金项目(31200777)；武器装备预研基金重点项目(9140A05040114JB34015)；武器装备预研基金项目(9140A05040213JB340699). |
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| 摘 要： | 为减少免疫算法应用时的计算量,对免疫算法的原理进行研究,提出一种基于药物辅助的免疫算法,并研究其在函数优化方面的应用.类比人体免疫系统机理, 增加药物治疗环节.改进算法是将原始目标函数进行分割,当算法寻找到某一局部极小值后,在原始目标函数的基础上更新搜索区域,提高收敛速度,降低计算量.最后通过仿真实验验证了所提出算法在多峰函数的寻优问题应用中的可行性和优越性.
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| 关 键 词： | 药物辅助 免疫算法 函数寻优 收敛性 局部极值 |
Research and application of fast immune algorithm for solution space directional optimization |
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| CHENG Cheng,GAO Min,LIU Xiao-guang and ZHOU Han. Research and application of fast immune algorithm for solution space directional optimization[J]. Control and Decision, 2017, 32(7): 1241-1246 |
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| Authors: | CHENG Cheng GAO Min LIU Xiao-guang ZHOU Han |
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| Affiliation: | Department of Precision Guidance Technology Research Institute, Missile Engineering, Ordnance Engineering College, Shijiazhuang 050003, China,Department of Precision Guidance Technology Research Institute, Missile Engineering, Ordnance Engineering College, Shijiazhuang 050003, China,Department of Electronic and Optical Engineering, Ordnance Engineering College, Shijiazhuang 050003, China and The Military Representative Office at No.789 Factory, Chongqing Military Representative Bureau, PLA, Chongqing 400060, China |
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| Abstract: | In order to reduce the calculation amount of immune algorithm application, the principle of artificial immune algorithm is analyzed in this paper, an artificial immune algorithm based on auxiliary medicine is proposed, and then, its application in function optimization is studied. The process of traditional immune algorithm is changed, with a medical treatment in it to promote the human immune system to eliminate foreign antigens. The novel immune algorithm divides the original objective function. When a local minimum is found in the global search process, the search area is updated. Finally, the algorithm is used to search for the minimum value of multimodal functions, and the simulation experiments verify the feasibility and superiority of the proposed algorithm. |
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