Handling constraints in global optimization using artificial immune systems: A survey

Studies in Computational Intelligence

Volumn 198, Issue , 2009, Pages 237-262

  Cruz Cortés, Nareli ^a  

^a INSTITUTO POLITÉCNICO NACIONAL   (Mexico)

Author keywords

Artificial immune systems; Constrained numerical optimization; Genetic algorithms

Indexed keywords

EID: 65549101414     PISSN: 1860949X     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-00619-7_11     Document Type: Article

References (29)

1. Aragón, V.S., Esquivel, S.C., Coello, C.A.: Artificial Immune System for Solving Constrained Optimization Problems. Revista Iberoamericana de Inteligencia Artificial 35, 55-66 (2007)
2. Aragón, V.S., Esquivel, S.C., Coello, C.A.: A Novel Model of Artificial Immune System for Solving Constrained Optimization Problems with Dynamic Tolerance Factor. In: Gelbukh, A., Kuri Morales, Á.F. (eds.) MICAI 2007. LNCS, vol. 4827, pp. 19-29. Springer, Heidelberg (2007)
3. Bernardino, H.S., Barbosa, H.J., Lemonge, A.C.C.: Constraint Handling in Genetic Algorithms via Artificial Immune Systems. In: Grahl, J. (ed.) Late-breaking paper at Genetic and Evolutionary Computation Conference (GECCO 2006) (2006)
4. Bernardino, H.S., Barbosa, H.J., Lemonge, A.C.C.: A Hybrid Genetic Algorithm for Constrained Optimization Problems in Mechanical Engineering. In: IEEE Congress on Evolutionary Computation (CEC 2007), pp. 646-653. IEEE Press, Los Alamitos (2007)
5. Burnet, F.M.: The Clonal Selection Theory of Acquiered Immunity. Cambridge University Press, Cambridge (1959)
6. Cantú-Paz, E.: Efficient and Accurate Parallel Genetic Algorithms. Kluwer Academic Publishers, Dordrecht (2000)
7. Coelho, G.P., Zuben, F.J.V.: Omni-aiNet: An Immune-Inspired Approach for Omni Optimization. In: Bersini, H., Carneiro, J. (eds.) ICARIS 2006. LNCS, vol. 4163, pp. 294-308. Springer, Heidelberg (2006)
8. Coello, C.A.C., Cruz-Cortés, N.: A Parallel Implementation of an Artificial Immune System to Handle Constraints in Genetic Algorithms: Preliminary Results. In: Congress on Evolutionary Computation (CEC 2002), vol. 1, pp. 819-824. IEEE Service Center (May 2002)
9. Coello, C.A.C., Cruz-Cortés, N.: Hybridizing a Genetic Algorithm with an Artificial Immune System for Global Optimization. Engineering Optimization 36(5), 607-634 (2004)
10. Coello, C.A.C., Cruz-Cortés, N.: Solving Multiobjective Optimization Problems Using an Artificial Immune System. Genetic Programming and Evolvable Machines 6(2), 163-190 (2005)
11. Cruz-Cortés, N., Trejo-Pérez, D., Coello, C.A.C.: Handling Constraints in Global Optimization Using an Artificial Immune System. In: Jacob, C., Pilat, M.L., Bentley, P.J., Timmis, J.I. (eds.) ICARIS 2005. LNCS, vol. 3627, pp. 234-247. Springer, Heidelberg (2005)
12. Dasgupta, D. (ed.): Artificial Immune Systems and Their Applications. Springer, Heidelberg (1998)
13. de Castro, L.N., Timmis, J.: Artificial Immune Systems: A New Computational Intelligence Approach. Springer, Heidelberg (2002)
14. de Castro, L.N., Zuben, F.J.V.: Learning and Optimization Using the Clonal Selection Principle. IEEE Transactions on Evolutionary Computation 6(3), 239-251 (2002)
15. Freschi, F., Repetto, M.: Multiobjective Optimization by a Modified Artificial Immune System. In: Jacob, C., Pilat, M.L., Bentley, P.J., Timmis, J.I. (eds.) ICARIS 2005. LNCS, vol. 3627, pp. 248-261. Springer, Heidelberg (2005)
16. Hajela, P., Lee, J.: Constrained Genetic Search via Schema Adaptation: An Immune Network Solution. Structural Optimization 12(1), 11-15 (1996)
17. Hajela, P., Yoo, J.S.: Immune Network Modeling in Design Optimization. In: Corne, D., Dorigo, M., Glover, F. (eds.) New Ideas in Optimization, pp. 203-215. McGraw-Hill, New York (1999)
18. Jerne, N.K.: Towards a Network Theory of the Immune System. Ann. Immunol. Inst. Luis Pasteur. 125C, 373-389 (1974)
19. Jiao, L., Gong, M., Shang, R., Du, H., Lu, B.: Clonal Selection with Immune Dominance and Anergy Based Multiobjective Optimization. In: Coello Coello, C.A., Hernández Aguirre, A., Zitzler, E. (eds.) EMO 2005. LNCS, vol. 3410, pp. 474-489. Springer, Heidelberg (2005)
20. Kelsey, J., Timmis, J.: Immune Inspired Somatic Contiguous Hypermutation for Function Optimisation. In: Cantú-Paz, E., Foster, J.A., Deb, K., Davis, L., Roy, R., O'Reilly, U.-M., Beyer, H.-G., Kendall, G.,Wilson, S.W., Harman, M.,Wegener, J., Dasgupta, D., Potter, M.A., Schultz, A., Dowsland, K.A., Jonoska, N., Miller, J., Standish, R.K. (eds.) GECCO 2003. LNCS, vol. 2724, pp. 207-218. Springer, Heidelberg (2003)
21. ULuh, G.C., Chueh, C.H., Liu,W.:MOIA:Multi-Objective Immune Algorithm. Engineering Optimization 35(2), 143-164 (2003)
22. Mezura-Montes, E., Coello, C.A., Landa, R.: Engineering Optimization Using a Simple Evolutionary Algorithm. In: Proceedings of the Fiftheenth International Conference on Tools with Artificial Intelligence (ICTAI 2003), pp. 149-156. IEEE Computer Society, Los Alamitos (2003)
23. Michalewicz, Z., Schoenauer, M.: Evolutionary Algorithms for Constrained Parameter Optimization problems. Evolutionary Computation 4(1), 1-32 (1996)
24. Olivetti, F., Zuben, F.J.V., de Castro, L.N.: An Artificial Immune Network for Multimodal Function Optimization on Dynamic Environments. In: GECCO 2005: Proceedings of the 2005 conference on Genetic and evolutionary computation, pp. 289-296. ACM, New York (2005)
25. Petrowski, A.: A Clearing Procedure as a Niching Method for Genetic Algorithms. In: Third IEEE International Conference on Evolutionary Optimization, Proceedings, pp. 798-803. IEEE Press, Los Alamitos (1996)
26. Rajasekaran, S., Lavanya, S.: Hybridization of Genetic Algorithms with Immune System for Optimization Problems in Structural Engineering. Structural and Multidisciplinary Optimization 34(5), 415-429 (2007)
27. Runarsson, T.P., Yao, X.: Stochastic Ranking for Constrained Evolutionary Optimization. IEEE Transactions on Evolutionary Computation 4(3), 284-294 (2000)
28. Tan, K., Goh, C., Mamun, A., Ei, E.: An Evolutionary Artificial Immune System for Multi-objective Optimization. European Journal of Operational Research 127(2), 371-392 (2008)
29. Wu, J.Y.: Artificial Immune System for Solving Constrained Global Optimization Problems. In: IEEE Symposium on Artificial Life (Ci-ALife 2007), pp. 92-99 (2007)