[1]陈明杰,黄佰川,张旻.混合改进蚁群算法的函数优化[J].智能系统学报,2012,7(4):370-376.
 CHEN Mingjie,HUANG Baichuan,ZHANG Min.Function optimization based on an improved hybrid ACO[J].CAAI Transactions on Intelligent Systems,2012,7(4):370-376.
点击复制

混合改进蚁群算法的函数优化

参考文献/References:
[1]DERIGO M, CARO G D. Ant algorithms for discrete optimization[J]. Artificial Life, 1999, 5(3): 137172.
[2]张纪会, 高齐圣, 徐心和. 自适应蚁群算法[J]. 控制理论与应用, 2000, 17(1): 18.
 ZHANG Jihui, GAO Qisheng, XU Xinhe.Adaptive ant colony optimization[J]. Control Theory and Applications, 2000, 17(1): 18.
[3]詹士昌, 吴俊. 基于蚁群算法的PID参数优化设计[J]. 测控技术, 2004, 23(2): 6971.
ZHAN Shichang, WU Jun. Design of PID optimization based on ACO[J]. Measurement & Control Technology, 2004, 23(2): 6971.
[4]李玉英. 混沌蚂蚁群优化算法及其应用研究[D]. 北京: 北京邮电大学, 2009: 1521.
LI Yuying. On chaos ant colony optimization and its application[D]. Beijing: Beijing University of Posts and Telecommunications, 2009: 1521.
[5]陈烨. 用于连续函数优化的蚁群算法[J]. 四川大学学报:工程科学版, 2004, 36(6): 117120.
CHEN Ye. Ant colony optimization for continuous functions[J]. Journal of Sichuan University: Engineering Science Edition, 2004, 36(6): 117120.
[6]陈烨. 变尺度混沌蚁群算法[J]. 计算机工程与应用, 2007, 43(3): 6870.
CHEN Ye. On mutative scaled chaos ant colony optimization[J]. Computer Engineering and Applications, 2007, 43(3): 6870.
[7]王颖, 谢剑英. 一种自适应蚁群算法及其仿真研究[J]. 系统仿真学报, 2002, 14(1): 3133.
WANG Ying, XIE Jianying. An adaptive ant colony optimization and its simulations[J]. Journal of System Simulation,2002, 14(1): 3133.
[8]STUTZLE T, HOOS H H.MAXMIN ant system[J].Future Generation Computer Systems, 2000, 16(8): 889914. 
[9]BILCHEV G A, PARMEE I C. The ant colony metaphor for searching continuous space[J]. Lecture Notes in Computer Science, 1995, 993(1): 2539.
[10]GUTJAHR W J. A graphbased ant system and its convergence[J]. Future Generation Computer System, 2000, 16(8): 873888.
[11]DREO J, SIARRY P. Continuous interacting ant colony algorithm based on dense heterarchy[J]. Future Generation Computer Systems, 2004, 20(5): 841856.
[12]周爽,张钧萍,张枫,等.基于蚁群算法的遥感图像聚类方法[J]. 哈尔滨工程大学学报, 2009, 30(2): 210214.
ZHOU Shuang, ZHANG Junping, ZHANG Feng, et al. Clustering method for remote sensing images based on an ant colony algorithm[J]. Journal of Harbin Engineering University, 2009, 30(2): 210214.
[13]赵百轶,张利军,贾鹤鸣. 基于四叉树和改进蚁群算法的全局路径规划[J]. 应用科技, 2011, 38(10): 2328.
ZHAO Baiyi,ZHANG Lijun,JIA Heming. Global path planning based on quadtree and improved ant colony optimization algorithm[J]. Applied Science and Technology, 2011, 38(10): 2328.
相似文献/References:
[1]刘长平,叶春明.具有Lévy飞行特征的蝙蝠算法[J].智能系统学报,2013,8(3):240.
 LIU Changping,YE Chunming.Bat algorithm with the characteristics of Lévy flights[J].CAAI Transactions on Intelligent Systems,2013,8():240.
[2]莫愿斌,马彦追,郑巧燕,等.单纯形法的改进萤火虫算法及其在非线性方程组求解中的应用[J].智能系统学报,2014,9(6):747.[doi:10.3969/j.issn.1673-4785.201309075]
 MO Yuanbin,MA Yanzhui,ZHENG Qiaoyan,et al.Improved firefly algorithm based on simplex method and its application in solving non-linear equation groups[J].CAAI Transactions on Intelligent Systems,2014,9():747.[doi:10.3969/j.issn.1673-4785.201309075]
[3]周欢,李煜.具有动态惯性权重的布谷鸟搜索算法[J].智能系统学报,2015,10(4):645.[doi:10.3969/j.issn.1673-4785.201409042]
 ZHOU Huan,LI Yu.Cuckoo search algorithm with dynamic inertia weight[J].CAAI Transactions on Intelligent Systems,2015,10():645.[doi:10.3969/j.issn.1673-4785.201409042]
[4]陈杰,沈艳霞,陆欣.基于信息反馈和改进适应度评价的人工蜂群算法[J].智能系统学报,2016,11(2):172.[doi:10.11992/tis.201506024]
 CHEN Jie,SHEN Yanxia,LU Xin.Artificial bee colony algorithm based on information feedback and an improved fitness value evaluation[J].CAAI Transactions on Intelligent Systems,2016,11():172.[doi:10.11992/tis.201506024]

备注/Memo

收稿日期:2011-11-11.
网络出版日期:2012-07-12.
基金项目:国家自然科学基金资助项目(51079033);中央高校基本科研业务费专项资金资助项目(HEUCF100430).
通信作者:陈明杰.
E_mail:chenmingjie@hrbeu.edu.cn.
作者简介:
陈明杰,女,1977年生,副教授,硕士生导师,博士,主要研究方向为复杂系统的智能控制、图像处理与模式识别等.发表学术论文30余篇,其中11篇被EI/ISTP检索.

更新日期/Last Update: 2012-09-26
Copyright @ 《 智能系统学报》 编辑部
地址:(150001)黑龙江省哈尔滨市南岗区南通大街145-1号楼 电话:0451- 82534001、82518134