现代优化理论与算法专栏 |
|
|
|
|
基于自适应和变游走方向的改进狼群算法 |
郭立婷 |
西安电子科技大学 数学与统计学院, 陕西 西安 710126 |
|
Improved wolf pack algorithm based on adaptive step length and adjustable scouting direction |
GUO Liting |
School of Mathematics and Statistics, Xidian University, Xi'an 710126, China |
[1] DORIGO M, MANIEZZO V, COLORNI A. Ant system:optimization by a colony of cooperating agent[J].IEEE Trans, on Systems, Man, and Cybernetics, 1996, 26(1):29-41. [2] 李晓磊,邵之江,钱积新.一种基于动物自治体的寻优模式:鱼群算法[J].系统工程理论与实践,2002,22(11):32-38. LI X L, SHAO Z J, QIAN J X. An optimizing method based on autonomous animals:Fish-swarm algorithm[J].Systems Engineering Theory and Practice, 2002, 22(11):32-38. [3] KRISHNAND K N, GHOSE D. Glowworm swarm optimization for simultaneous capture of multiple local optima of multimodal functions[J].Swarm Intelligence, 2009, 3(2):87-124. [4] LIU C, YAN X, LIU C, et al. The wolf colony algorithm and its application[J]. Chinese Journal of Electronics, 2011, 20(2):212-216. [5] 吴虎胜,张凤鸣,吴庐山.一种新的群体智能算法——狼群算法[J].系统工程与电子技术,2013,35(11):2430-2438. WU H S, ZHANG F M, WU L S. New swarm intelligence algorithm:Wolf pack algorithm[J]. Systems Engineering and Electronics, 2013, 35(11):2430-2438. [6] 陈斐.改进的人工鱼群算法分析与研究[D].西安:西安电子科技大学,2012. CHEN F. Analysis and Research on Improved Artificial Fish Swarm Algorithm[D]. Xi'an:Xidian University, 2012. [7] 刘彦君,江铭炎.自适应视野和步长的改进人工鱼群算法[J].计算机工程与应用,2009,45(25):35-37. LIU Y J, JIANG M Y. Improved artificial fish swarm algorithm based on adaptive visual and step length[J]. Computer Engineering and Applications, 2009, 45(25):35-37. [8] 欧阳喆,周永权.自适应步长萤火虫优化算法[J].计算机应用,2011,31(7):1804-1807. OUYANG Z, ZHOU Y Q. Self-adaptive step glowworm swarm optimization algorithm[J]. Journal of Computer Applications, 2011, 31(7):1804-1807. [9] 李开荣,陈宏建,陈崚.一种动态自适应蚁群算法[J].计算机工程与应用,2004,40(29):149-152. LI K R, CHEN H J, CHEN L. A dynamic and adaptive ant algorithm[J]. Computer Engineering and Applications, 2004, 40(29):149-152. [10] 李国亮,魏振华,徐蕾.基于改进搜索策略的狼群算法[J].计算机应用,2015,35(6):1633-1636,1687. LI G L, WEI Z H, XU L. Wolf pack algorithm based on modified search strategy[J]. Journal of Computer Applications, 2015, 35(6):1633-1636, 1687. [11] 周强,周永权.一种基于领导者策略的狼群搜索算法[J].计算机应用研究,2013,30(9):2629-2632. ZHOU Q, ZHOU Y Q. Wolf colony search algorithm based on leader strategy[J].Application Research of Computers, 2013, 30(9):2629-2632. [12] 薛俊杰,王瑛,李浩,等.一种狼群智能算法及收敛性分析[J].控制与决策,2016,31(12):2131-2139. XUE J J, WANG Y, LI H, et al. A smart wolf pack algorithm and its convergence analysis[J]. Control and Decision, 2016,31(12):2131-2139. [13] WU H, ZHANG F. A uncultivated wolf pack algorithm for high dimensional functions and its application in parameters optimization of PID controller[C]//IEEE Congress on Evolutionary Computation. Beijing:IEEE Press, 2014:2430-2438. [14] 吴虎胜.狼群算法及其应用研究[D].西安:空军工程大学,2014. WU H S. Wolf Pack Algorithm and Its Application Research[D]. Xi'an:Air Force Engineering University, 2014. [15] GUO L T, LIU S Y.An improved binary wolf pack algorithm based on adaptive step length and improved update strategy for 0-1 Knapsack problems[C]//Data Science:Third International Conference of Pioneering Computer Scientists, Engineers and Educators. Changsha:ICPCSEE, 2017:442-452. DOI:10.1007/978-981-10-6388-6-37. |
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|