蚁群智能优化方法及其应用
上QQ阅读APP看书,第一时间看更新

参考文献

[1] Goss S, Aron S, Deneubourg J L, et al.Self-organized shortcuts in the Argentine ant[J].Naturwissenschaften,1989,76:579~561.

[2] Dorigo M, Maniezzo V, Colorni A.Ant system:Optimization by a colony of cooperating agents[J].IEEE Transactions on System Man, and Cybernetics:Part B,1996,26:29~41.

[3] Dorigo M, Caro G Di, Gambardella L M.Ant algorithms for discrete optimization [J].Artificial Life,1999,5(2):137~172.

[4] Dorigo M, Caro G Di.The ant colony optimization metaheuristic[C].In:Corne D, Dorigo M, Glover F, Ed.New Ideas in Optimization, London, U K:McGraw-Hill,1999:11~32.

[5] Dorigo M, Gambardella L M.Ant Colony System:A Cooperative Learning Approach to the Traveling Salesman Problem [J]. IEEE Transactions on Evolutionary Computation,1997,1(1):53~66.

[6] Bullnheimer B, Hartl R F, Strauss C.A new rank based version of the ant system:A computational study[J].Central European Journal for Operations Research and Economics,1999,7(1):25~38.

[7] Stützle T, Hoos H H.MAX-MIN ant system[J].Future Generation Computer Systems,2000,16(8):889~914.

[8] 李士勇.蚁群算法及其应用[M].哈尔滨:哈尔滨工业大学出版社,2004.

[9] 段海滨.蚁群算法原理及其应用[M].北京:科学出版社,2005.

[10] Colorni A, Dorigo M, Maniezzo V, et al.Distributed optimization by ant colonies [C].Proceedings of the 1st European Conference on Artificial Life,1991:134~142.

[11] Costa D, Hertz A.Ants can colour graphs[J].Journal of the Operational Research Society,1997,48:295~305.

[12] Gambardella LM, Taillard ED, Agazzi G.MACS-VRPTW:A multiple ant colony system for vehicle routing problems with time windows[C].Corne D, Dorigo M, Glover F, Ed.New Ideas in Optimization, London, U K:McGraw-Hill,1999:63~76.

[13] Merkle D, Middendorf M, Schmeck H.Ant colony optimization for resource constrained project scheduling [J]. IEEE Transactions on Evolutionary Computation,2002,6(4):333~346.

[14] Solnon C.Ants can solve constraint satisfaction problems[J].IEEE Transactions on Evolutionary Computation,2002,6(4):347~357.

[15] Lessing L, Dumitrescu I, Stützle T.A comparison between ACO algorithms for the set covering problem[J].Lecture Notes in Computer Science,2004,3172:1~12.

[16] Korosec P, Silc J, Robic B.Solving the mesh-partitioning problem with an ant-colony algorithm[J].Parallel Computing,2004,30:785~801.

[17] 秦玲,白云,章春芳,等.解0-1背包问题的蚁群算法[J].计算机工程,2006,32(6):212~214.

[18] 王颖,谢剑英.一种基于蚁群算法的多媒体网络多播路由算法[J].上海交通大学学报,2002,36(4):526~529.

[19] 陈岩,杨华江,朱华勇,等.基于树分解/合并策略的QoS多播路由方法[J].国防科技大学学报,2007,29(2):117~122.

[20] 秦玲,陈崚,周日贵,等.一种基于蚁群系统的组播路由算法[J].信息与控制,2006,35(5):549~550.

[21] Bilchev G, Parmee I C.The ant colony metaphor for searching continuous design spaces[J], Lecture Notes in Computer Science,1995,993:25~39.

[22] Dreo J, Siarry P.Continuous interacting ant colony algorithm based on dense heterarchy[J].Future generation computer systems,2004,20:841~856.

[23] 陈崚,沈洁,秦玲.蚁群算法求解连续空间优化问题的一种方法[J].软件学报,2002,13(12):2317~2323.

[24] 杨勇,宋晓峰,王建飞,等.蚁群算法求解连续空间优化问题[J].控制与决策,2003,18(5):573~576.

[25] Li Y J, Wu T J.An adaptive ant colony system algorithm for continuous space optimization problems[J].Journal of Zhejiang University-SCIENCE,2003,4(1):40~46.

[26] 汪镭,吴启迪.蚁群算法在系统辨识中的应用[J].自动化学报,2003,29(1):102~109.

[27] 程志刚,陈德钊,吴晓华.连续蚁群优化算法的研究[J].浙江大学学报,2005, 39(8):1147~1151.

[28] 寇晓丽,刘三阳.一种求解连续优化的蚁群混合算法[J].西安电子科技大学学报,2006,33(5):745~747.

[29] Socha K, Dorigo M.Ant colony optimization for continuous domains[J]. European Journal of Operational Research,2007.

[30] 段海滨,马冠军,王道波,等.一种求解连续空间优化问题的改进蚁群算法[J].系统仿真学报,2007,19(5):974~977.

[31] 张勇德,黄莎白.多目标优化问题的蚁群算法研究[J].控制与决策,2005,20(2):172~176.

[32] Doerner K, Gutjahr W J, Hartl R F, et al.Pareto ant colony optimization with ILP preprocessing in multiobjective project portfolio selection[J].European Journal of Operational Research,2006,171:830~841.

[33] 胡毅,龚斌,刘运臣.基于蚁群算法的多QoS约束海量数据网格任务调度[J].华中科技大学学报,2007,35:90~93.

[34] 刘士新,宋健海,周山长.热轧带钢轧制批量计划优化模型及算法[J].控制理论与应用,2007,24(2):243~248.

[35] 翟海保,程浩忠,陈春霖,等.基于最小期望投资悔值的柔性约束电网灵活规划方法[J].上海交通大学学报,2005,39:27~31.

[36] 闻育,吴铁军.求解复杂多阶段决策问题的动态窗口蚁群优化算法[J].自动化学报,2004,30(6):872~879.

[37] Fenet S, Solnon C.Searching for maximum cliques with ant colony optimization [J].Lecture Notes in Computer Science,2003,26(11):291~302.

[38] 覃刚力,杨家本.自适应调整信息素的蚁群算法[J].信息与控制,2002,31(3):198~201.

[39] 陈崚,沈洁,秦玲,等.基于均匀分布度的自适应蚁群算法[J].软件学报,2003,14(8):1379~1387.

[40] 陈崚,沈洁,秦玲,等.具有感觉和知觉特征的蚁群算法[J].系统仿真学报,2003,15(10):1418~1425.

[41] 黄国锐,曹先彬,王煦法.基于信息素扩散的蚁群算法[J].电子学报,2004,32(5):865~868.

[42] 曹先彬,尹宝勇.基于信息素异步更新的蚁群算法[J].系统工程与电子技术,2004,26(11):1680~1683.

[43] 郝晋,石立宝,周家启.具有随机扰动特性的蚁群算法[J].仪器仪表学报,2001,22(4):349~352.

[44] 李万庆,李彦苍.求解复杂优化问题的基于信息熵的自适应蚁群算法[J].数学的实践与认识,2005,35(2):134~139.

[45] 王一清,宋爱国,黄惟一.基于Bayes决策的蚁群优化算法[J].东南大学学报,2005,35(4):558~562.

[46] Botee H M, Bonabeau E.Evolutionary ant colony optimization[J].Advances in Complex Systems,1998,1(2):149~159.

[47] Zecchin A C, Simpson A R, Marier H R, et al.Parametric study for an ant algorithm applied to water distribution system optimization [J]. IEEE Transactions on Evolutionary Computation,2005,9(2):175~191.

[48] 冯远静.群体协同蚁群算法及其在图像分割中的应用[D].西安:西安交通大学,2004.

[49] 段海滨,王道波.蚁群算法的全局收敛性研究及改进[J].系统工程与电子技术,2004,26(10):1506~1509.

[50] 邢桂华,于盛林.动态分阶段蚁群算法及其收敛性分析[J].控制与决策,2007, 22(6):685~688.

[51] Birattari M, Stiitzle T, Paquete L, et al.A racing algorithm for configuring metaheuristics[C].Langdon W B, et al.ed.Proceedings of the Genetic and Evolutionary Computation Conference(GECCO-2002), CA:Morgan Kaufmann Publishers,2002:11~18.

[52] Pellegrini P, Favaretto D, Moretti E.On MAX—MIN ant system's parameters [C].Dorigo M.et al.ed.ANTS 2006, Lecture Notes in Computer Science, 2006,41(50):203~214.

[53] Dorigo M, Stützle T.The ant colony optimization metaheuristic:algorithms, applications, and advances[C].Glover F, Kochenberger G.Ed.Handbook of Metaheuristics.MA:Kluwer Academic Publishers,2002:251~285.

[54] 丁建立,陈增强,袁著祉.遗传算法与蚂蚁算法融合的马尔可夫收敛性分析[J].自动化学报,2004,30(4):629~634.

[55] 吴庆洪,张纪会,徐心和.具有变异特征的蚁群算法[J].计算机研究与发展,1999,36(10):1239~1245.

[56] 陈烨.带杂交算子的蚁群优化算法[J].计算机工程,2001,27(12):74~76.

[57] 孙焘,王秀坤,刘业欣,等.一种简单蚂蚁算法及其收敛性分析[J].小型微型计算机系统,2003,24(8):1524~1527.

[58] 段海滨,王道波,于秀芬.基于云模型的小生境MAX-MIN相遇蚁群算法[J].吉林大学学报,2006,36(5):803~808.

[59] 洪炳熔,金飞虎,高庆吉.基于蚁群算法的多层前馈神经网络[J].哈尔滨工业大学学报,2003,35(7):823~825.

[60] 邹政达,孙雅明,张智晟.基于蚁群优化算法递归神经网络的短期负荷预测[J].电网技术,2005,29(3):59~63.

[61] 侯云鹤,鲁丽娟,熊信艮,等.广义蚁群与粒子群结合算法的电力系统经济负荷分配[J].电网技术,2004,28(21):34~38.

[62] Feng Y, Feng Z.An immunity-based ant system for continuous space mult-i modal function optimization[C].Proceedings of the third international conference on Machine Learning and Cybernetics,2004:1050~1054.

[63] 蒋加伏,陈荣元,唐贤瑛,等.基于免疫-蚂蚁算法的多约束QoS路由选择[J].通信学报,2004,25(8):89~95.

[64] Randall M, Lewis A.A parallel implementation of ant colony algorithm[J]. Journal of Parallel and Distributed Computing,2002,62:1421~1432.

[65] Chen L, Zhang C F.Adaptive exchanging strategies in parallel ant colony algorithm[J].Journal of software,2007,18(3):617~624.

[66] 熊伟清,魏平.二进制蚁群进化算法[J].自动化学报,2007,33(3):259~264.

[67] Gutjahr W J.A graph-based ant system and its convergence [J].Future Generation Computer Systems,2000,16(8):873~888.

[68] Stützle T, Dorigo M.A short convergence proof for a class of ant colony optimization algorithm[J].IEEE Transactions on Evolutionary Computation. 2002,6(4):358~365.

[69] Gutjahr W J.ACO algorithms with guaranteed convergence to the optimal solution[J].Information Processing Letters,2002,82(3):145~153.

[70] Hou Y H, Wu Y W, Lu L J, et al.Generalized ant colony optimization for economic dispatch of power systems[C].Proceedings of the 2002 International Conference on Power System Technology,2002,1:225~229.

[71] Yoo J H, La R J, Makowski A M.Convergence results for ant routing[R]. Technical Report CSHCN 2003-46, Institute for Systems Research, University of Maryland, College Park(MD),2003.

[72] Yoo J H, La R J, Makowski A M.Convergence of ant routing-results for simple parallel network and perspectives [R].Technical Report CSHCN 2003-44, Institute for Systems Research, University of Maryland, College Park(MD),2003.

[73] Badr A, Fahmy A.A proof of convergence for ant algorithms[J].International Journal of Intelligent Computing and Information,2003,3(1):22~32.

[74] 孙焘,王秀坤,刘业欣,等.一种简单蚂蚁算法及其收敛性分析[J].小型微型计算机系统,2003,24(8):1524~1527.

[75] 丁建立,陈增强,袁著祉.遗传算法与蚂蚁算法融合的马尔可夫收敛性分析[J].自动化学报,2004,30(4):629~634.

[76] 段海滨,王道波,于秀芬.基本蚁群算法的A.S.收敛性研究[J].应用基础与工程科学学报,2006,14(2):297~301.

[77] 黄翰,郝志峰,吴春国,等.蚁群算法的收敛速度分析[J].计算机学报,2007, 30(8):1344~1353.

[78] Blum C, Dorigo M.Search bias in ant colony optimization:on the role of competition-balanced systems [J ]. IEEE Transactions on Evolutionary Computation,2005,9(2):159~174.