Abstract
In this paper, an optimization algorithm base immune principle is expatiated, explain its basic theory and process. And discuss immune algorithm’s advantage than other heuristic algorithms, such as: genetic algorithm and evolution strategy. And introduce several better algorithms base immune algorithm, present application in optimization problems. At last we propose immune algorithm’s further development in optimization problems’ application.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Mo, H., Jin, H.: Immune algorithm and application. Aeronautical Computer Technique 32(4), 49–51 (2002)
Fu, H., Wang, F.: Intrusion detection system model based on mathematic statistic and immunlogical principle. Computer Engineering and Design 29(12), 3037–3039 (2008)
Chun, J.-S., Jung, H.-K., Hahn, S.-Y.: A Study on Comparison of Optimization Performances between Immune Algorithm and other euristie Algorithms. IEEE Transactions On Magnetics 34, 2972–2975 (1998)
Jiao, L., Du, H.: Development and Prospect of the Artificial Immune System. Acta Electronica Sinica 32(10), 1540–1548 (2003)
Tan, G.-X., Mao, Z.-Y.: Study on Pareto Front of Muliti-Objective Optimization using Immune Algorithm. In: Proceedings of the Fourth International Conference on Machine Learning and Cybernetics, pp. 2923–2928 (2005)
Chun, J.-S., Kim, M.-K., Jung, H.-K.: Shape Optimization of electromagnetic devices using Immune Algorithm. IEEE Transactions on Magnetics 33, 1876–1879 (1997)
Yang, K., Wang, X.: Research and im plement of adaptive multimodal im mune evolution algorithm. Control and Decision 20(6), 717–720 (2005)
Liao, G.-C., Tsao, T.-P.: Application embedded chaos search immune genetic algorithm for short-term unit commitment. Electric Power Systems Research 71, 135–144 (2004)
Yang, J., Li, B., Yu, L.: Based on immune genetic algorithm in Optimization Design. Journal of Machine Design 19(9), 14–17 (2002)
Branke, J., Kaubler, T., Schmeck, H.: Guidance in evolutionary multiobjective optimization. Advances in Engineering Software 32, 499–507 (2001)
Bosman, P.A., Thierens, D.: Multi-objective optimization with diversity preserving mixture-based iterated density estimation evolutionary algorithms. International Journal of Approximate Reasoning 31, 259–289 (2002)
Summanwar, V., Jayaraman, V., Kulkarni, B., Kusumakar, H., Gupta, K., Rajesh, J.: Solution of constrained optimization problems by multiobjective genetic algorithm. Computers and Chemical Engineering 26, 1492 (2002)
Deb, K., Gulati, S.: Design of truss-structures for minimum weight using genetic algorithms. Finite Elements in Analysis and Design 37, 447–465 (2001)
Wang, L., Pan, J., Jiao, L.: The Immune Algorithm. Acta Electronica Sinica 28(7), 74–78 (2000)
Su, C., Zhu, X.: An Immune Optimal Algorithm and Its Application. Journal of Southwest Jiaotong University 37(6), 677–680 (2002)
Zhang, S., Cao, X., Wang, X.: Immune Algorithm Based on Immune Recognition. Acta Electronica Sinica 30(12), 1840–1844 (2002)
Shao, X., Yu, Z., Sun, L.: Immune algorithms in analytical chemistry. Trends in Analytical Chemistry 22, 59–69 (2003)
Castro, L., Timmis, J.I.: Artificial immune systems as a novel soft computing paradigm. Soft Computing 7, 526–544 (2003)
Castro, L., Zuben, F.J.: Artificial Immune Systems:Part I – Basic Theory and Applications (1999)
Castro, L., Zuben, F.J.: Artificial Immune Systems:Part II – A Survey of Applications (2000)
Zuo, X., Mo, H.: Survey on immune scheduling algorithms. Control and Decision 24(12), 1761–1768 (2009)
Yi, Z.: An Improved Immune Algorithm. Journal of East China Jiaotong University 24(1), 123–128 (2007)
Wu, X., Zhu, Z.: Schema Control for Immune Genetic Algorithm. Computer Simulation 22(8), 98–101 (2005)
Cai, Z., Gong, T.: Advance in research on immune algorithms. Control and Decision 19(8), 841–846 (2004)
Cayzer, S.: Artificial Immune Systems (2005)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag GmbH Berlin Heidelberg
About this chapter
Cite this chapter
Weili, S., Wenbo, Z., Baoxing, B., Honghua, X., Yu, M. (2012). Study Actuality of Immune Optimization Algoriithm and It’s Future Development. In: Qian, Z., Cao, L., Su, W., Wang, T., Yang, H. (eds) Recent Advances in Computer Science and Information Engineering. Lecture Notes in Electrical Engineering, vol 125. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25789-6_17
Download citation
DOI: https://doi.org/10.1007/978-3-642-25789-6_17
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25788-9
Online ISBN: 978-3-642-25789-6
eBook Packages: EngineeringEngineering (R0)