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参考文献

[1]朱锡华.生命的卫士——免疫系统[M].北京:科学技术文献出版社,1999.

[2]Farmer J D, Packard N H, Perelson A S. The immune system, adaptation, and machine learning[J]. Physical D, 1986: 187-204.

[3] 刘俊达.科学广播免疫知识漫谈[M].北京:科学普及出版社,1980.

[4]Farmer J D, Packard N H, Perelson A S. The immune system, adaptation, and machine learning[J]. Physical D, 1986: 187-204.

[5]丁永生,任立红.人工免疫系统:理论与应用[J].模式识别与人工智能,2000,13(1):52-59.

[6] Dasgupta D. Artificial neural networks and artificial immune systems: similarities and differences[C]. IEEE International Conference on Computational Cybernetics and Simulation. Institute of Electrical and Electronics Engineers, 1997: 873-878.

[7]王重庆.分子免疫学基础[M].北京:北京大学出版社,1999.

[8]王煦法,张显俊,曹先彬,等.一种基于免疫原理的遗传算法[J].小型微型计算机系统,1999,20(2):117-120.

[9] 罗文坚,曹先彬,王煦法.免疫网络调节算法及其在固定频率分配问题中的应用[J].自然科学进展,2002,12(8):890-893.

[10] 罗文坚,曹先彬,王煦法.用一种免疫遗传算法求解频率分配问题[J].电子学报,2003,31(6):915-917.

[11]Jiao L C, Wang L. A novel genetic algorithm based on immune. IEEE Trans. on System, Man, and Cybernetics-Part A, 2000, 30: 1-10.

[12]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.

[13]Du H F, Gong M G, Jiao L C, et al. A novel artificial immune system algorithm for high-dimensional function numerical optimization[J]. Progress in Natural Science, 2005, 15(5): 463-471.

[14] Du H F, Gong M G, Liu R C, et al. Adaptive chaos clonal evolutionary programming algorithm. Science in China Series F-Information Sciences, 2005, 48(5): 579-595.

[15] Gong M G, Du H F, Jiao L C. Optimal approximation of linear systems by artificial immune response[J]. Science in China: Series F Information Sciences, 2006, 49(1): 63-79.

[16] Liu R C, Jiao L C, Du H F. Clonal strategy algorithm based on the immune memory[J]. Journal of Computer Science and Technology, 2005, 20(5): 728-734.

[17] Gong M G, Jiao L C, Zhang X R. A population-based artificial immune system for numerical optimization[J]. Neuro Computing, 2008, 72(1-3): 149-161.

[18]李涛.计算机免疫学[M].北京:电子工业出版社,2004.

[19]丁永生.计算智能——理论、技术与应用[M].北京:科学出版社,2004.

[20]黄席樾,张著洪,何传江,等.现代智能算法理论及应用[M].北京:科学出版社,2005.

[21]莫宏伟.人工免疫系统原理及应用[M].哈尔滨:哈尔滨工业大学出版社,2003.

[22]肖人彬,曹鹏彬,刘勇.工程免疫计算[M].北京:科学出版社,2007.

[23]Castro L N, Timmis J. Artificial Immune Systems: A New Computational Intelligence Approach[M]. Berlin: Speringer-Verlag, 2002.

[24]Burnet F M. The Clonal Selection Theory of Acquired Immunity[M]. Cambridge: Cambridge University Press, 1959.

[25] Castro L N, Von Zuben F J. Learning and Optimization Using the Clonal Selection Principle[J]. IEEE Transactions on Evolutionary Computation, 2002, 6(3): 239-251.

[26]Forrest S, Javornik B, Smith R E, et al. Using genetic algorithms toexplore pattern recognition in the immune system[J]. Evolutionary Computation, 1993, 1(3): 191-211.

[27]Fukuda T, Mori K, Tsukiyama M. Parallel search for multi-modal function optimization with diversity and learning of immune algorithm[M]//Dasgupta D. Artificial Immune Systems and their Applications, Berlin: Springer-Verlag, 1998.

[28]Kelsey J, Timmis J. Immune Inspired Somatic Contiguous Hypermutation for Function Optimisation[C]//International Conference on Genetic & Evolutionary Computation, Parti: Springer-Verlag, 2003.

[29]Cutello V, Nicosia G, Pavone M. Exploring the Capability of Immune Algorithms: A Characterization of Hypermutation Operators[C]//International Conference on Artificial Immune Systems. Berlin: Springer, 2004: 263-276.

[30]胡朝阳,文福拴.免疫算法与其它模拟进化优化算法的比较研究[J].电力情报,1998(01):61-63.

[31]Tarakanov A, Dasgupta D. A formal model of an artificial immune system[J]. BioSystems, 2000, 5(5): 151-158.

[32]Timmis J, Neal M, Hunt J. Data analysis using artificial immune systems, cluster analysis and Kohonen networks: some comparisons[C]//IEEE International Conference on Systems, Man, and Cybernetics. Institute of Electrical and Electronics Engineers, Incorporated, 1999: 922-927.

[33]Nohara B T, Takahashi H. Evolutionary computation in engineering artificially immune (EAI system)[C]//Annual Conference of the IEEE Industrial Electronics Society. IEEE press, 2000: 2501-2506.

[34]丁永生,任立红.一种新颖的模糊自调整免疫反馈控制系统[J].控制与决策.2000,15(4):443-446.

[35]何清.模糊聚类分析理论与应用研究进展[J].模糊系统与数学,1998,12(2):89-94.

[36]高新波.模糊聚类算法的优化及应用研究[D].西安:西安电子科技大学,1999.

[37]Bezdek J C. Patten Recognition with Fuzzy Objective Function Algorithm[M]. New York: Plenum Press, 1981.

[38] Dave R N, Bhaswan K. Adaptive fuzzy c-shells clustering and detection of ellipses[J]. IEEE Trans. NN, 1992, 3(5): 643-662.

[39] Krishnapuram R, Frigui H, Nasraoni O. Fuzzy and possiblistic shell clustering algorithms and their application to boundary detection and surface approximation-Part I[J]. IEEE Trans. FS, 1995, 3(1): 29-43.

[40]高新波,薛忠,李洁.一种多类原型模糊聚类的初始化方法[J].电子学报,1999,27(12):72-75.

[41]Hathaway R J, Bezdek J C. Switching regression models and fuzzy clustering[J]. IEEE Trans. FS, 1993, 3(1): 195-204.

[42] Gath I, Geva A B. Unsupervised optimal fuzzy clustering[J]. IEEE Trans. SMC, 1989, 11(7): 773-781.

[43]William H H, Loretta S A, William M, et al. Self-Organizing Systems for Knowledge Discovery in Large Databases[EB/OL]. [2020-05-20]. http://www.kddresearch.org/Publications/Conference/HAPTW1.pdf.

[44]Leandro N C, Fernando J Z. An Evolutionary Immune Network for Data Clustering[J]. Proceedings of the IEEE Computer Society Press, 2000(1): 84-89.

[45]Han H S, Yu J J, Park C G, et al. Development of inspection gauge system for gas pipeline[J]. KSME Int, 2004, 18(3): 370-378.

[46]Golden B L, Wong R T. Capacitated arc routing problems[J]. Networks, 1981, 11(3): 305-316.

[47]Golden B L, DeArmon J S, Baker E K. Computational experiments with algorithms for a class of routing Problems [J]. Computers & Operations Research, 1983, 10(1): 47-59.

[48]Ulusoy G. The fleet size and mix problem for capacitated arc routing [J]. European Journal of Operational Research, 1985, 22(3): 329-337.

[49]Eglese R W. Routeing winter gritting vehicles [J]. Discrete Applied Mathematics, 1994, 48(3): 231-244.

[50]Hertz A G, Laporte G, Mittaz M. A tabu search heuristic for the capacitated arc routing Problem [J]. Operations Research, 2000, 8(1): 129-135.

[51]Lacomme P, Prins C, Ramdane W. Competitive memetic algorithms for arc Routing Problems [J]. Annals of Operations Research, 2004, 131(1): 159-185.

[52]Tang K, Mei Y, Yao X. Memetic Algorithm with Extended Neighborhood Search for Capacitated Arc Routing Problems [J]. IEEE Transactions on Evolutionary Computation, 2009, 13(5): 1151-1166.

[53]Gong M G, Jiao L C, Zhang L N. Baldwinian learning in clonal selection algorithm for optimization[J]. Information Science, 2010, 180(8): 1218-1236.

[54] Jiao L C, Wang L. A novel genetic algorithm based on immunity[J]. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans 2000, 30(5): 552-561.

[55] Shang R H, Ma W P, Zhang W. Immune clonal MO algorithm for 0/1 knapsack problems[C]. Proceedings of The 2nd International Conference on Natural Computation, 2006 : 870-878.

[56]Shang R H, Jiao L C, Liu F, Ma W P. A Novel Immune Clonal Algorithm for MO Problems[J]. IEEE Transactions on Evolutionary Computation, 2012, 16 (1): 35-49.

[57]Usberti F L, Franca P M, Franca A L. GRASP with evolutionary path-relinking for the capacitated are routing problem[J]. Computers & Operations Research, 2011.

[58]Mei Y, Li X D, Yao X. Decomposing Large-Scale Capacitated Arc Routing Problems using aRandom Route Grouping Method[C]//Proceedings of the 2013 IEEE Congress on Evolutionary Computation Cancun, Mexico, 2013.

[59]Tan K C, Yang Y J, Goh C K. A distributed cooperative coevolutionary algorithm for multiobjective optimization[J]. IEEE Transactions on Evolutionary Computation, 2006, 10(5): 527-549.

[60]Yang Z, Tang K, Yao X. Large scale evolutionary optimization using cooperative coevolution[J]. Information Sciences, 2008, 178(15): 2985-2999.

[61]Runarsson T P, Yao X. Stochastic ranking for constrained evolutionary optimization[J]. IEEE Transactions on Evolutionary Computation, 2000, 4(3): 284-294. IgMe52jBP+1/fgCjqeLiRSyq/TjrHAp/czWiYV7VMizclPnqNTGgGXRyuv1bFiVt

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