Clonal selection with immune dominance and anergy based multiobjective optimization

Lecture Notes in Computer Science

Volumn 3410, Issue , 2005, Pages 474-489

  Jiao, Licheng ^a   Gong, Maoguo ^a   Shang, Ronghua ^a   Du, Haifeng ^a,b   Lu, Bin ^a  

^a XIDIAN UNIVERSITY   (China)

^b XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ANTIBODIES; COMPUTER SIMULATION; GENETIC ALGORITHMS; IMMUNOLOGY; PARAMETER ESTIMATION; PROBLEM SOLVING;

IMMUNE SYSTEM; MULTIOBJECTIVE PROBLEMS;

OPTIMIZATION;

EID: 24344467542     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-31880-4_33     Document Type: Conference Paper

References (11)

1. Schaffer, J.D.: Multiple objective optimization with vector ecaluated genetic algorithms. PhD thesis, Vanderbilt University (1984)
2. Abido, M.A.: Environmental economic power dispatch using multiobjective evolutionary algorithms. IEEE Trans. Power Systems, Vol.18, No. 4, November (2003)
3. Zitzler, E., Thiele, L.: Multiobjective Evolutionary Algorithms: A Comparative Case Study and the Strength Pareto Approach. IEEE Trans. Evolutionary Computation. Vol. 3, No. 4, November (1999)
4. Zitzler, E., Laumanns, M., Thiele, L.: SPEA2: Improving the Strength Pareto Evolutionary Algorithm. In: Giannakoglou, K., Tsahalis, D., Periaux, J., Papailou, P., Fogarty, T. (eds.): EUROGEN 2001, Evolutionary Methods for Design, Optimization and Control with Applications to Industrial Problems. Athens, Greece (2002)95-100
5. Coello Coello, C.A., Nareli, C.C.: An Approach to Solve Multiobjective Optimization Problems Based on an Artificial Immune System. In: Jonathan, T., Peter, J.B. (eds.): Proceedings of the First International Conference on Artificial Immune Systems. Canterbury, UK (2002)212-221
6. Du, H.F., Jiao, L.C., Gong, M.G., Liu, R.C.: Adaptive Dynamic Clone Selection Algorithms. In: Zdzislaw, P., Lotfi, Z. (eds.): Proceedings of the Fourth International Conference on Rough Sets and Current Trends in Computing. Uppsala, Sweden (2004)
7. Ishibuchi, H., Murata, T.: A multiobjective genetic local search algorithm and its application to flowshop scheduling. IEEE Trans. System, Man and Cybernetics. Vol. 28, No. 3, (1998) 392-403
8. Abbas, A.K., Lichtman, A.H., Pober, J.S.: Cellular and Molecular Immunology. 3rd edn. W. B. Saunders Company, New York (1998)
9. Zitzler, E.: Evolutionary Algorithms for Multiobjective Optimization: Methods and Applications. A dissertation submitted to the Swiss Federal Institute of Technology Zurich for the degree of Doctor of Technical Sciences. Diss. Eth No. 13398 (1999)
10. Schott, J.R.: Fault Tolerant Design Using Single and Multictiteria Gentetic Algorithm Optimization. Master's thesis, Massachusetts Institute of Technology.Cambridge, Massachusetts, May (1995)
11. David, A.V.: Multiobjective Evolutionary Algorithms: Classification, Analyses, and New Innovations. PhD thesis. Presented to the Faculty of the Graduate School of Engineering of he Air Force Institute of Technology. Air University. USA. AFIT/DS/ENG (1999)