Optimization and defect identification using distributed evolutionary algorithms

Engineering Applications of Artificial Intelligence

Volumn 17, Issue 4, 2004, Pages 337-344

  Burczyński, Tadeusz ^a,b   Kuś, Wacław ^a   Długosz, Adam ^a   Orantek, Piotr ^a  

^a SILESIAN UNIVERSITY OF TECHNOLOGY   (Poland)

^b CRACOW UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

BEM; Coevolution; Distributed evolutionary algorithm; FEM; Identification; Optimization

Indexed keywords

ARTIFICIAL INTELLIGENCE; BOUNDARY ELEMENT METHOD; COMPUTER AIDED ANALYSIS; FINITE ELEMENT METHOD; IDENTIFICATION (CONTROL SYSTEMS); OPTIMIZATION; PARAMETER ESTIMATION; PROBLEM SOLVING;

COEVOLUTION; DEFECT IDENTIFICATION; DISTRIBUTED EVOLUTIONARY ALGORITHMS; DUAL-RECIPROCITY BOUNDARY ELEMENT METHOD (DRBEM);

EVOLUTIONARY ALGORITHMS;

EID: 2942755793     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2004.04.007     Document Type: Article

References (27)

1. Alba E., Troya J.M. A survey of parallel distributed genetic algorithms. Complexity. 4(4):1999;31-52.
2. Aleander, J.T., 2000. An indexed bibliography of distributed genetic algorithms, University of Vaasa, Report 94-1-PARA, Vaasa, Finland.
3. Brebbia C.A., Telles J.C.F., Wrobel L.C. Boundary Element Techniques. 1984;Springer, Berlin.
4. Burczyński, T., Długosz, A., 2002. Evolutionary optimization in thermoelastic problems using the boundary element method. Computational Mechanics, Vol. 28(3-4). Springer, Berlin.
5. Burczyński, T., Kuś, W., 2001. Shape optimization of elasto-plastic structures using distributed evolutionary algorithms. Proceedings of the European Conference on Computational Mechanics, ECCM 2001, Kraków.
6. Burczyński, T., Kuś, W., 2003a. Distributed and parallel evolutionary algorithms in optimization of nonlinear structures. Proceedings of the 15th International Conference on Computational Mechanics, CMM 2003, Gliwice Wisła, CD, ISBN 83-914632-4-9, Poland.
7. Burczyński, T., Kuś, W., 2003b. Improvements of distributed evolutionary algorithm in optimization of nonlinear structures. Symposium on Methods of Artificial Intelligence AI-METH 2003, Gliwice, Poland.
8. Burczyński, T., Kuś, W., 2003c. Distributed evolutionary algorithms with master-co-evolutionary algorithm and slaves - fitness function evaluators. Sixth National Conference on Evolutionary Algorithms and Global Optimization KAEiOG 2003, Łagów, Poland.
9. Burczyński, T., Kuś, W., 2004a. Optimization of structures using distributed and parallel evolutionary algorithms. Proceedings of the fifth Conference Parallel Processing and Applied Mathematics, PPAM 2003, Lecture Notes in Computer Science, Vol. 3019. Springer, Berlin.
10. Burczyński T., Kuś W. Distributed evolutionary algorithms in optimization of nonlinear solids. Burczyński T., Osyczka A. Evolutionary Methods in Mechanics. 2004;Kluwer, Dordrecht.
11. Burczyński, T., Osyczka, A. (Eds.), 2004c. Evolutionary Methods in Mechanics. Kluwer, Dordrecht.
12. Burczyński, T., Kuś, W., Długosz, A., 2003a. Distributed evolutionary algorithms in optimization of thermoelastic structures. Proceedings of the 15th International Conference on Computational Mechanics, CMM, 2003, Gliwice Wisła, CD, ISBN 83-914632-4-9, Poland.
13. Burczyński, T., Kuś, W., Orantek, P., 2003b. Distributed evolutionary algorithms in selected identification problems. Proceedings of the 15th International Conference on Computational Mechanics, CMM 2003, Gliwice Wisła, CD, ISBN 83-914632-4-9, Poland.
14. Burczyński, T., Kuś, W., Orantek, P., Długosz, A., 2003c. Distributed evolutionary algorithms in structural optimization and defect identification. Proceedings of the Evolutionary Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems EUROGEN 2003, CD, Barcelona.
15. Cantú-Paz, E., 1998. A survey of parallel genetic algorithms. Calculateurs Paralleles, Reseaux et Systems Repartis, Vol. 10(2). Hermes, Paris, pp. 141-171.
16. Długosz A. Evolutionary computation in thermoelastic problems. Burczyński T., Osyczka A. Evolutionary Methods in Mechanics. 2004;Kluwer, Dordrecht.
17. Dominguez J. Boundary Elements in Dynamics. 1993;CMP, Southampton, Boston.
18. Kleiber, M. (Ed.), 1998. Handbook of Computational Solid Mechanics. Springer, Berlin.
19. Kuś, W., Burczyński, T., 2000. Evolutionary optimization of elastoplastic solids. In: Burczyski T., Cholewa W. (Eds.), Proceedings of the AI-MECH 2000 Symposium on Methods of Artificial Intelligence in Mechanics and Mechanical Engineering, Gliwice.
20. Michalewicz Z. Genetic. Algorithms+Data Structures=evolutionary Algorithms: 1996;Springer, Berlin.
21. MSC. Nastran Help, 2004. CD version.
22. Orantek P. Hybrid evolutionary algorithm in optimization of structures under dynamical loads. Burczyński T., Osyczka A. Evolutionary Methods in Mechanics. 2004;Kluwer, Dordrecht.
23. Papadrakakis M., Lagaros N.D. Soft computing methodologies for structural optimization. Applied Soft Computing. 3:2003;283-300.
24. Piegl L., Tiller W. The NURBS Book. 1997;Springer, Berlin.
25. Rypl, D., 2002. T3D Triangulation of 3D Domains, User Guide.
26. Tanese R. Distributed genetic algorithms. Schaffer J.D. Proceedings of the Third ICGA. 1989;434-439 San Mateo, USA.
27. Zienkiewicz, O.C., Taylor, R.L., 2000. The Finite Element Method, Vol. 1-2. Butterworth, Oxford.