Self adaptive fuzzy sets in multi objective optimization using genetic algorithms

Applied Computational Electromagnetics Society Journal

Volumn 12, Issue 2, 1997, Pages 26-31

  Magele, Ch ^a   Furntratt G ^a   Brandstatter B ^a   Richter, K R ^a  

^a GRAZ UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

GENETIC ALGORITHMS; OPTIMIZATION; PROBLEM SOLVING; VECTORS;

MULTIOBJECTIVE OPTIMIZATION;

FUZZY SETS;

EID: 3142530958     PISSN: 10544887     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (7)

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2. P. Alotto, A.V. Kuntsevitch, Ch. Magele, G. Molinari, C. Paul, K. Preis, M. Repetto, K.R. Richter, "Multiobjective Optimization in Magnetostatics: A Proposal for Benchmark Problems", IEEE Trans. on Magn, Vol.32,pp1238-1241, 1996
3. Ch. Magele et. all, "SMES Optimization Benchmark", Proceedings of the TEAM Workshop in the Sixth Round, March 20-21,1996 Okayama, Japan
4. F.G. Ühler, O.A. Mohammed, C.S. Koh, "Utilizing Genetic Algorithms for the Optimal Design of ... ", IEEE Trans. on Magn, Vol.30, no. 6, pp 4296-4298, 1994
5. Z. Michaliewicz: "Genetic Algorithms + Data Structures = Evolution Programs", Springer Verlag Berlin Heidelberg.
6. M. Chiampi, C. Ragusa, M. Repetto, "Fuzzy Approach for Multiobjective Optimization in Magentics", IEEE Trans. on Magn, Vol.32, no. 3, pp 1234-1237, 1996
7. R.E. Bellman, H.L. Zadeh, "Decision making in a fuzzy environment", Management Science, Vol. 17, Pg. 141-164, 1970.