[1]ZHAO Yun-feng,YIN Yi-xin,FU Dong-mei,et al.Application of a Tabu immune network algorithm in function optim izations[J].CAAI Transactions on Intelligent Systems,2008,3(5):393-400.
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Application of a Tabu immune network algorithm in function optim izations
CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
3
Number of periods:
2008 5
Page number:
393-400
Column:
学术论文—人工智能基础
Public date:
2008-10-25
- Title:
- Application of a Tabu immune network algorithm in function optim izations
- Keywords:
- artificial immune system; artificial immune network algorithm; Tabu search algorithm; op timization
- CLC:
- TP18
- DOI:
- -
- Abstract:
- A Tabu search artificial immune algorithm ( TS2aiNet) was developed based on the aiNet and Tabu search algorithms. It introduces a taboo list of cellswhose affinities are to no longer increase in network iterations, and releases some excellent tabooed cells in line with amnesty criteria. A memory table is added to store mature memory cells. Moreover, exp ressions of Gaussian mutation for a diversity search in the p rocess of global op timiza2 tion were imp roved. Convergence analysis was performed with some typ ical systems and comparison wasmade with KLONALG and aiNet algorithms. The simulation results showed that the app roach p resented has better global con2 vergent ability and stability in multi2modal search space, and can avoid p rematurity effectively. So it is a global op2 timization algorithm with good feasibility and high efficiency
- References:
-
[ 1 ] SW IECICKA A, SEREDYNSKI F, ZOMAYA A Y. et al. Multip rocessor scheduling and rescheduling with use of cel2 lular automata and artificial immune system support [ J ]. IEEE Transactions on Parallel and Distributed Systems, 2006, 17 (3) : 253 2262.
[ 2 ]De CASTRO L N, TIMM IS J. Artificial immune systems as a novel soft computing paradigm [ J ]. Soft Computing Jour2 nal, 2003, 7 (7) : 67275.
[ 3 ] GONZALEZ L, CANNADY J. A self2adap tive negative se2 lection app roach for anomaly detection [ C ] / /Proceedings of the Congress on Evolutionary Computation. Portland, USA, 2004: 20223.
[ 4 ]焦李成, 杜海峰, 刘 芳,等. 免疫优化计算、学习与识别[M ]. 北京: 科学出版社, 2006: 2182235.
[ 5 ] ZHENG D L, L IANG R X, FU D M, et al. App lication of artificial immune system and artificial immune genetic algo2 rithm to op timization [ J ]. Journal of University of Science and Technology Beijing, 2003, 3 (25) : 2842287.
?[ 6 ]黄弦超, 舒 隽, 张粒子,等. 免疫禁忌混合智能优化算法在配电网检修优化中的应用[ J ]. 中国电机工程学报, 2004, 24 (11) : 962100.
?HUANG Xianchao, SHU Jun, ZHANG L izi, et al. Distribu2 tion maintenance scheduling using an intelligent op timal ap2 p roach mixed with immune algorithm and tabu search [ J ]. Journal of Chinese Electrical Engineering Science, 2004, 24 (11) : 962100.
[ 7 ]汪嘉杨, 李祚泳, 熊建秋,等. 基于免疫禁忌优化算法的生态环境评价指数公式及其应用[ J ]. 生态与农村环境学报, 2006, 22 (4) : 25229.
WANG J iayang, L I Zuoyong, XIONG J ianqiu, et al. Expo2 nential formula for evaluation of eco2environmental quality based on immune taboo search [ J ]. Journal of Ecology and Rural Environment, 2006, 22 (4) : 25229.
[ 8 ]De CASTRO L N, ZUBEN F J. aiNet: an artificial immune network for data analysis [ C ] / /Data mining: A Heuristic App roach. Hershey, USA, 2001: 1237.
[ 9 ]De CASTRO L N, TIMM IS J. An artificial immune network for multimodal function op timization [ C ] / /Proc of IEEE Congress on Evolutionary Computation. Honolulu: IEEE Service Center, USA, 2002: 6992704.
?[ 10 ] TAN P H, RASMUSSEN L K. Tabu search multi2user de2 tection in CDMAEA [ C ] / /Radio Vetenskapoch Kommuni2 kation. Stockholm, Sweden, 2002: 7442748.
[ 11 ]JU I YW, CHUNG Y K. Artificial immune system for sol2 ving constrained global op timization p roblems[ C ] / /The First IEEE Symposium on ArtificialLife. Honolulu: Hawaii, USA, 2007: 92299.
[ 12 ] SUN R X, QU L S. Quantitative evaluation of op timization efficiency for genetic algorithms [ J ]. Acta Automatic Sini2 ca, 2000, 26 (4) : 5522556.
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Last Update:
2009-05-18