Hybrid Taguchi-harmony search approach for shape optimization

Studies in Computational Intelligence

Volumn 270, Issue , 2010, Pages 89-98

  Yildiz, Ali Riza ^a   Öztürk, Ferruh ^a  

^a ULUDAG UNIVERSITY   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 75749118257     PISSN: 1860949X     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-04317-8_8     Document Type: Article

References (29)

1. Yildiz, A.R., Ozturk, N., Kaya, N., Ozturk, F.: Hybrid multi-objective shape design optimization using Taguchi's method and genetic algorithm. Structural and Multidisciplinary Optimization 34, 317-332 (2007)
2. Dereli, T., Filiz, I.H., Baykasoglu, A.: Optimizing cutting parameters in process planning of prismatic parts by using genetic algorithms. International Journal of Production Research 39, 3303-3328 (2001)
3. Yildiz, A.R., Saitou, K.: Topology Synthesis of Multi-Component Structural Assembly in Continuum Domain. In: Proceedings of ASME International Design Engineering Technical Conferences, New York, USA, pp. 3-6 (2008)
4. Colorni, A., Dorigo, M., Maniezzo, V.: Distributed optimization by ant colony. In: Proceedings of 1st European Conference on Artificial Life, pp. 134-142 (1991)
5. Woon, S.Y., Querin, O.M., Steven, G.P.: Structural application of a shape optimization method based on a genetic algorithm. Structural and Multidisciplinary Optimization 22, 57-64 (2001)
6. Liu, B., Haftka, R.T., Akgun, M.A., Todoroki, A.: Permutation genetic algorithm for stacking sequence design of composite laminates. Computer Methods in Applied Mechanics and Engineering 186, 357-372 (2000)
7. Yildiz, A.R., Kaya, N., Alankus, O.B., Ozturk, F.: Optimal design of vehicle components using topology design and optimization. International Journal of Vehicle Design 34, 387-398 (2004)
8. Geem, Z.W.: Optimal cost design of water distribution networks using harmony search. Engineering Optimization 38, 259-280 (2006)
9. Saka, M.P.: Optimum design of steel frames using stochastic search techniques based on natural phenomena: a review. In: Topping, B.H.V. (ed.) Civil engineering computations: tools and techniques, pp. 105-147. Saxe-Coburgh Publications (2007)
10. Sonmez, O.F.: Shape optimization of 2D structures using simulated annealing. Computer Methods in Applied Mechanics and Engineering 196, 279-329 (2007)
11. Kirkpatrick, S., Gelatt, C.D., Vecchi, M.P.: Optimization by simulated annealing. Science 220, 671-680 (1983)
12. Eberhart, R., Kennedy, J.: A new optimizer using particle swarm theory. In: Proceedings of IEEE Sixth International Symposium on Micro Machine Human Science. Nagoya, Japan, pp. 39-43 (1995)
13. Fourie, P.C., Groenwold, A.A.: The particle swarm optimization algorithm in size shape optimization. Structural and Multidisciplinary Optimization 23, 259-267 (2002)
14. Geem, Z.W., Kim, J.H., Loganathan, G.V.: A new heuristic optimization algorithm: harmony search. Simulation 76, 60-68 (2001)
15. Lee, K.S., Geem, Z.W.: A new structural optimization method based on the harmony search algorithm. Computers & Structures 82, 781-798 (2004)
16. Lee, K.S., Geem, Z.W.: A new meta-heuristic algorithm for continues engineering optimization: harmony search theory and practice. Computer Methods in Applied Mechanics and Engineering 194, 3902-3933 (2004)
17. Geem, Z.W.: Music-inspired harmony search algorithm: theory and applications. Springer, Berlin (2009)
18. Hasancebi, O., Carbas, S., Dogan, E., Erdal, F., Saka, M.P.: Performance evaluation of metaheuristic search techniques in the optimum design of real size pin jointed structures. Computers and Structures 87, 284-302 (2009)
19. Saka, M.P.: Optimum design of steel sway frames to BS 5950 using harmony search algorithm. Journal of Constructional Steel Research 65, 36-43 (2009)
20. Mahdavi, M., Fesanghary, M., Damangir, E.: An improved harmony search algorithm for solving optimization problems. Applied Mathematics and Computation 188, 1567-1579 (2007)
21. Yildiz, A.R.: A novel hybrid immune algorithm for global optimization in design and manufacturing. Robotics and Computer Integrated Manufacturing 25, 261-270 (2009)
22. Yildiz, A.R.: A novel particle swarm optimization approach for product design and manufacturing. International Journal of Advanced Manufacturing Technology 40, 617-628 (2009)
23. Yildiz, A.R.: Hybrid immune-simulated annealing algorithm for optimal design and manufacturing. International Journal of Materials and Product Technology 34, 217-226 (2009)
24. Fesanghary, M., Mahdavi, M., Minary-Jolandan, M., et al.: Hybridizing harmony search algorithm with sequential quadratic programming for engineering optimization problems. Computer Methods in Applied Mechanics and Engineering 197, 3080-3091 (2008)
25. Fan, S.S.K., Liang, Y.C., Zahara, E.: Hybrid simplex search particle swarm optimization for the global optimization of multimodal functions. Engineering Optimization 36, 401-418 (2004)
26. Xia, W.J., Wu, Z.M.: A hybrid particle swarm optimization approach for the job-shop scheduling problem. International Journal Advanced Manufacturing Technology 29, 360-366 (2006)
27. Rajasekaran, S., Lavanya, S.: Hybridization of genetic algorithm with immune system for optimization problems in structural engineering. Structural and Multidisciplinary Optimization 34, 415-429 (2007)
28. Deb, K.: Multiobjective Optimization Using Evolutionary Algorithms. Wiley, Chichester (2001)
29. Phadke, S.M.: Introduction to quality engineering, Asian Productivity Organization (1989)