Evolutionary quantum algorithms for structural design

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

Volumn 4, Issue , 2005, Pages 3077-3082

  Akbarzadeh T, M R ^a,b   Khorsand, A R ^c  

^a IEEE   (Iran)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

^c FERDOWSI UNIVERSITY OF MASHHAD   (Iran)

Author keywords

Genetic Algorithms (GA); Genetic Quantum Algorithms (GQA); Large Scale Problem Analysis (L SPA); Neural Networks (NN); Optimization; Structural Analysis

Indexed keywords

FINITE ELEMENT EVALUATIONS; GENETIC QUANTUM ALGORITHMS (GQA); LARGE-SCALE PROBLEM ANALYSIS (L-SPA); QUANTUM GATES;

ERROR ANALYSIS; MUTAGENESIS; NEURAL NETWORKS; OPTIMIZATION; PROBLEM SOLVING; QUANTUM THEORY; STATISTICAL METHODS; STRUCTURAL ANALYSIS; STRUCTURAL DESIGN;

GENETIC ALGORITHMS;

EID: 27944496774     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. M.Papadrakakis, N.D.Lagaros," Reliability-based structural optimization using neural networks and Monte Carlo simulation," Computation Methods Applied Mechanic, Engineering. 191, pp. 3491-3507, 2002.
2. L.Zhang, G.Subbarayan," An evaluation of back-propagation neural networks for the optimal design of structural systems: Part I. Training procedures," Computation Methods Applied Mechanic Engineering, 191, pp. 2873-2886, 2002.
3. L. Zhang, G.Subbarayan," An evaluation of back-propagation neural networks for the optimal design of structural systems: Part I. Numerical evaluation," Computation Methods Applied Mechanic Engineering 191, pp. 2887-2904, 2002.
4. N.D. Lagaros, M.Papadrakakis," Learning improvement of neural networks used in structural optimization," Advances in Engineering Software 35, 2004.
5. S.Nagendra, J.Laflen, A.Wafa, "Applied Neural Networks for Predicting Approximation Structural Response Behavior Using Learning and Design Experience," 97CRD117, 1997.
6. M.Papadrakakis, N.D.Lagaros, Y.Tsompanakis," Structural optimization using evolution strategies and neural networks," Computation Methods Applied Mechanic Engineering, 156, pp. 309-333, 1998.
7. A-R.Khorsand, M-R.Akbarzadeh-T," A novel hybrid FUZZY -GA-NN algorithm for large scale design optimization problems, Proceeding of the First International Conference on Modeling," Simulation and Applied Optimization, Sharjah, U.A.E, 2005.
8. K.Han, J.Kim," Quantum-Inspired Evolutionary Algorithm for a Class of Combinatorial Optimization," IEEE Trans. on Evolutionary Computation, vol., no. 6, 2002.
9. K.H Han, K.H Park, C.H Lee, J.H Kim," parallel Quantum-inspired Genetic Algorithm for Combinatorial Optimization Problem. "Proceeding of the 2001 IEEE congress on Evolutionary Computation Seoul, korea, 2001.
10. G Zhung, W Jin, L Hu, Novel Parallel Quantum GAs," Proceedings of the Fourth International Conference on Parallel and Distributed Computing," Applications and Technologies, PDCAT,'2003.
11. G Zhung, W Jin, L Hu," Quantum Evolutionary Algorithm for Multi-objective Optimization," Proceedings of the 2003 IEEE International Symposium on Intelligent Control Houston, Texas October 5-8.2003.
12. J.A YANG, H PENG, Z ZHUANG," Research of nonlinear blind source separation algorithm based on Quantum evolutionary neural network, "Proceedings of the Second International Conference on Machine Learning and Cybernetics, Wan, 2-5 November 2003.
13. S Yang, L Jiao," The Quantum Evolutionary Programming," Proceedings of the Fifth International Conference on Computational Intelligence and Multimedia Applications (ICCIMA'03) IEEE, 2003.
14. S Yang, M Wang, L Jiao," Novel Quantum Evolutionary Algorithm and Its Applications," IEEE, 2004.
15. A. R khorsand, M.R Akbarzadeh-T," Quantum Gate Optimization in a Meta-Level Genetic Quantum Algorithm," To appear in Proceedings of the 2005 IEEE International Conference on Systems, Man and Cybernetics, SMC'05, Hawaii.
16. W.M Introduction to Probability and Statistics, THOMSON BROOKS/COLE, 2003.