Tracking extrema in dynamic environments using a learning automata-based immune algorithm

Communications in Computer and Information Science

Volumn 121 CCIS, Issue , 2010, Pages 216-225

  Rezvanian, Alireza ^a   Meybodi, Mohammad Reza ^b  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Artificial Immune Algorithm; Dynamic Environments; Learning Automata; Time Varying Problems

Indexed keywords

ARTIFICIAL IMMUNE ALGORITHMS; BIO-INSPIRED ALGORITHMS; DYNAMIC ENVIRONMENTS; IMMUNE ALGORITHM; IMMUNE CELLS; IMMUNE SYSTEMS; LEARNING AUTOMATA; OPTIMIZATION PROBLEMS; REAL-WORLD PROBLEM; TIME VARYING;

AUTOMATA THEORY; INFORMATION TECHNOLOGY; MESH GENERATION; OPTIMIZATION; TRANSLATION (LANGUAGES);

LEARNING ALGORITHMS;

EID: 78650765237     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-17625-8_22     Document Type: Conference Paper

References (28)

1. Lung, R.I., Dumitrescu, D.: Evolutionary Swarm Cooperative Optimization in Dynamic Environments. Natural Computing 9, 83-94 (2010)
2. Pelta, D., Cruz, C., Gonzalez, J.R.: A Study on Diversity and Cooperation in a Multiagent Strategy for Dynamic Optimization Problems. International Journal of Intelligent Systems 24, 844-861 (2009)
3. Wang, H., Wang, D., Yang, S.: A Memetic Algorithm with Adaptive Hill Climbing Strategy for Dynamic Optimization Problems. Soft Computing-A Fusion of Foundations, Methodologies and Applications 13, 763-780 (2009)
4. Trojanowski, K., Wierzchon, S.T.: Immune-based Algorithms for Dynamic Optimization. Information Sciences 179, 1495-1515 (2009)
5. Yang, S., Yao, X.: Population-based Incremental Learning with Associative Memory for Dynamic Environments. IEEE Transactions on Evolutionary Computation 12, 542-561 (2008)
6. De Castro, L.N., Von Zuben, F.J.: Learning and Optimization using the Clonal Selection Principle. IEEE Transactions on Evolutionary Computation 6, 239-251 (2002)
7. Rezvanian, A., Meybodi, M.R.: LACAIS: Learning Automata based Cooperative Artificial Immune System for Function Optimization. In: Ranka, S., et al. (eds.) 3rd International Conference on Contemporary Computing (IC3 2010), Noida, India. Contemporary Computing, CCIS, vol. 94, pp. 64-75. Springer, Heidelberg (2010)
8. Rezvanian, A., Meybodi, M.R.: Improving Artificial Immune System using Fuzzy Logic. In: 10th Iranian Conference on Fuzzy Systems (IFS 2010), Tehran, Iran, pp. 173-177. IFSS, Tehran (2010)
9. Khaled, A., Abdul-Kader, H.M., Ismail, N.A.: Artificial Immune Clonal Selection Algorithms: A Comparative Study of CLONALG, opt-IA, and BCA with Numerical Optimization Problems. International Journal of Computer Science and Network Security 10, 24-30 (2010)
10. Aragon, V.S., Esquivel, S.C., Coello, C.A.: Artificial Immune System for Solving Global Optimization Problems. Inteligencia Artificial 46, 3-16 (2010)
11. Xu, Q., Wang, L., Si, J.: Predication based Immune Network for Multimodal Function Optimization. Engineering Applications of Artificial Intelligence 23, 495-504 (2010)
12. Gao, J., Wang, J.: WBMOAIS: A Novel Artificial Immune System for Multiobjective Optimization. Computers & Operations Research 37, 50-61 (2010)
13. Verbeeck, K., Nowe, A.: Colonies of Learning Automata. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 32, 772-780 (2002)
14. Xuhua, S., Feng, Q.: An Optimization Algorithm Based on Multi-population Artificial Immune Network. In: 5th International Conference on Natural Computation (ICNC 2009), vol. 5, pp. 379-383. IEEE Press, New York (2009)
15. Hu, C., Wang, B., Wang, Y.: Multi-swarm Particle Swarm Optimiser with Cauchy Mutation for Dynamic Optimisation Problems. International Journal of Innovative Computing and Applications 2, 123-132 (2009)
16. Beigy, H., Meybodi, M.R.: Cellular Learning Automata with Multiple Learning Automata in each Cell and its Applications. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 40, 54-65 (2010)
17. Abtahi, F., Meybodi, M.R., Ebadzadeh, M.M., Maani, R.: Learning Automata-based Coevolutionary Genetic Algorithms for Function Optimization. In: 6th International Symposium on Intelligent Systems and Informatics (SISY 2008), Subotica, Serbia, pp. 1-5. IEEE Press, New York (2008)
18. Hashemi, A.B., Meybodi, M.R.: Adaptive Parameter Selection Scheme for PSO: A Learning Automata Approach. In: 14th International CSI Computer Conference (CSICC 2009), Tehran, Iran, pp. 403-411. IEEE Press, New York (2009)
19. Rezvanian, A., Meybodi, M.R.: A New Method for Function Optimization using Artificial Immune System and Learning Automata. In: 3rd Joint Congress on Fuzzy and Intelligent Systems (IFS 2009), Yazd, Iran, pp. 1-7. IFSS, Tehran (2009)
20. De Franca, F.O., Von Zuben, F.J., De Castro, L.N.: An Artificial Immune Network for Multimodal Function Optimization on Dynamic Environments. In: Conference on Genetic and Evolutionary Computation (GECCO 2005), Washington, DC, USA, pp. 289-296. ACM, New York (2005)
21. Yongshou, D., Yuanyuan, L., Lei, W., Junling, W., Deling, Z.: Adaptive Immune-genetic Algorithm for Global Optimization to Multivariable Function. Journal of Systems Engineering and Electronics 18, 655-660 (2007)
22. Angeline, P.: Tracking Extrema in Dynamic Environments. In: Angeline, P.J., McDonnell, J.R., Reynolds, R.G., Eberhart, R. (eds.) EP 1997. LNCS, vol. 1213, pp. 335-345. Springer, Heidelberg (1997)
23. Woldesenbet, Y.G., Yen, G.G.: Dynamic Evolutionary Algorithm with Variable Relocation. IEEE Transactions on Evolutionary Computation 13, 500-513 (2009)
24. Dempsey, I., O'Neill, M., Brabazon, A.: Foundations in Grammatical Evolution for Dynamic Environments. Springer, Heidelberg (2009)
25. Walker, J.H., Garrett, S.M.: Dynamic Function Optimisation: Comparing the Performance of Clonal Selection and Evolution Strategies. In: Timmis, J., Bentley, P.J., Hart, E. (eds.) ICARIS 2003. LNCS, vol. 2787, pp. 273-284. Springer, Heidelberg (2003)
26. Timmis, J., Hone, A., Stibor, T., Clark, E.: Theoretical Advances in Artificial Immune Systems. Theoretical Computer Science 403, 11-32 (2008)
27. Narendra, K.S., Thathachar, M.A.L.: Learning Automata: An Introduction. Prentice-Hall, New York (1989)
28. Beigy, H., Meybodi, M.R.: Asynchronous Cellular Learning Automata. Automatica 44, 1350-1357 (2008)