New operators for multi-objective clonal selection algorithms

COMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering

Volumn 28, Issue 4, 2009, Pages 833-850

  Batista, Lucas De S ^a   Ramírez, Jaime A ^a   Guimarães, Frederico G ^b  

^a FEDERAL UNIVERSITY OF MINAS GERAIS   (Brazil)

^b FEDERAL UNIVERSITY OF OURO PRETO   (Brazil)

Author keywords

Artificial immune systems; Electromagnetic design; Multi objective optimization

Indexed keywords

ANALYTICAL PROBLEMS; ARTIFICIAL IMMUNE SYSTEMS; BENCH-MARK PROBLEMS; CLONAL SELECTION ALGORITHMS; COMPUTATIONAL COSTS; CONVERGENCE SPEED; DESIGN/METHODOLOGY/APPROACH; DYNAMIC SEARCH; ELECTROMAGNETIC DESIGN; ELECTROMAGNETIC OPTIMIZATION; LOCAL SEARCH; MULTI OBJECTIVE; MULTI-OBJECTIVE OPTIMIZATION PROBLEM; NON-DOMINATED SORTING GENETIC ALGORITHM - II; NSGA-II; PARETO-OPTIMAL SETS; PERFORMANCE EVALUATION; REAL-WORLD OPTIMIZATION; RECEPTOR EDITING; SOMATIC HYPERMUTATION;

COMPUTATIONAL EFFICIENCY; ELECTROMAGNETISM; ELECTROMAGNETS; EVOLUTIONARY ALGORITHMS; FUNCTION EVALUATION; IMAGE CLASSIFICATION; IMMUNOLOGY; MATHEMATICAL OPERATORS; PROBABILITY DISTRIBUTIONS;

MULTIOBJECTIVE OPTIMIZATION;

EID: 70149087510     PISSN: 03321649     EISSN: None     Source Type: Journal    
DOI: 10.1108/03321640910958955     Document Type: Article

References (25)

1. Alotto, P., Kuntsevitch, A., Magele, C., Molinari, G., Paul, C., Preis, K., Repetto, M., Richter, K. Multiobjective optimization in magnetostatics: a proposal for benchmark problems IEEE Transactions on Magnetics 32 3 1996 1238-41
2. Batista, L.S., Guimarães, F.G., Ramírez, J.A. A distributed clonal selection algorithm for optimization in electromagnetics IEEE Transactions on Magnetics 45 3 2009 1598-601
3. Campelo, F., Guimarães, F.G., Igarashi, H., Ramírez, J.A. A clonal selection algorithm for optimization in electromagnetics IEEE Transactions on Magnetics 41 5 2005 1736-9
4. Campelo, F., Guimarães, F.G., Igarashi, H., Ramírez, J.A., Noguchi, S. A modified immune network algorithm for multimodal electromagnetic problems IEEE Transactions on Magnetics 42 4 2006 1111-4
5. Chen, L., Aihara, K. Chaotic simulated annealing by a neural network model with transient chaos Neural Networks 8 6 1995 915-30
6. Cheng, C.-T., Wang, W.-C., Xu, D.-M., Chau, K.W. Optimizing hydropower reservoir operation using hybrid genetic algorithm and chaos Water Resources Management 22 7 2008 895-909
7. Coelho, L., Alotto, P. Multiobjective electromagnetic optimization based on a nondominated sorting genetic approach with a chaotic crossover operator IEEE Transactions on Magnetics 44 6 2008 1078-81
8. Deb, K., Agarwal, S., Pratab, A., Meyarivan, T. A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II Technical Report 200001 Kanpur Genetic Algorithms Laboratory, Indian Institute of Technology Kanpur 2000
9. de Castro, L.N., von Zuben, F.J. The clonal selection algorithm with engineering applications Workshop Proceedings of GECCO, Workshop on Artificial Immune Systems and Their Applications, Las Vegas, NV 2000 36-7
10. Dias, A., Vasconcelos, J. Multiobjective genetic algorithm applied to solve optimization problems IEEE Transactions on Magnetics 38 2 2002 1133-6
11. Fonseca, C., Fleming, P. Multiobjective optimization and multiple constraint handling with evolutionary algorithms - Part II: application example IEEE Trans. System, Man, and Cybernetics A 28 1998 38-47 (Pubitemid 128748053)
12. George, A.J., Gray, D. Receptor editing during affinity maturation Immunol. Today 20 4 1999 196
13. Guimarães, F.G., Wanner, E.F., Takahashi, R.H.C. A quality metric for multi-objective optimization based on hierarchical clustering techniques Proc. of the IEEE CEC 2009, Trondheim, Norway 2009
14. Jerne, N.K. Idiotypic networks and other preconceived ideas Immunological Reviews 79 1984 5-24
15. Kursawe, F. A variant of evolution strategies for vector optimisation Proceedings of the 1st Workshop on Parallel Problem Solving from Nature 496 Springer Berlin 1990 193-7
16. Mingjun, J., Huanwen, T. Application of chaos in simulated annealing Chaos, Solution and Fractals 21 4 2004 933-41
17. Nussenzweig, M.C. Immune receptor editing: revise and select Cell 95 7 1998 875-8
18. Poloni, C. Winter, G., Periaux, J., Galan, M., Puesta, P. Hybrid GA for multiobjective aerodynamic shape optimization Genetic Algorithms in Engineering and Computer Science Wiley Chichester 1995 397-416
19. Schoenung, S., Eyer, J., Iannucci, J., Horgan, S. Energy storage for a competitive power market Annual Review of Energy and the Environment 21 1996 347-70
20. Sharma, D., Kumar, A., Deb, K., Sindhya, K. Hybridization of SBX based NSGA-II and sequential quadratic programming for solving multi-objective optimization problems Congress on Evolutionary Computation, Special Session & Competition on Performance Assessment of Multi-objective Optimization Algorithms, Singapore 2007 3003-10
21. Storn, R.M., Price, K.V. Differential evolution: a simple and efficient adaptive scheme for global optimization over continuous spaces Journal of Global Optimization 11 1997 341-59
22. Wanner, E., Guimarães, F., Takahashi, R., Fleming, P. Local search with quadratic approximations into memetic algorithms for optimization with multiple criteria Evolutionary Computation 16 2 2008 185-224
23. Zitzler, E. Evolutionary algorithms for multiobjective optimization: methods and application Swiss Federal Institute of Technology (ETH) Zurich 1999 PhD thesis
24. Zitzler, E., Thiele, L. Multiobjective Optimization Using Evolutionary Algorithms - A Comparative Case Study Springer Heidelberg 1998 292-301 Chapter Parallel Problem Solving from Nature - PPSN V: Lecture Notes in Computer Science
25. Zitzler, E., Deb, K., Thiele, L. Comparison of multiobjective evolutionary algorithms: empirical results Evolutionary Computation 8 2 2000 173-95