Multi-objective optimal design of truss structure with immune algorithm

Computers and Structures

Volumn 82, Issue 11-12, 2004, Pages 829-844

  Luh, Guan Chun ^a   Chueh, Chung Huei ^a  

^a TATUNG UNIVERSITY   (Taiwan)

Author keywords

Biological immune system; Constrained multi objective immune algorithm; Constrained Pareto solutions; Multi objective optimization, truss optimization

Indexed keywords

ALGORITHMS; ANTIBODIES; ANTIGENS; BIOMEDICAL ENGINEERING; GENES; IMMUNOLOGY;

CONSTRAINED MULTIOBJECTIVE IMMUNE ALGORITHMS; CONSTRAINED PARETO SOLUTIONS; MULTIOBJECTIVE OPTIMIZATION; TRUSS OPTIMIZATION;

COMPUTER AIDED ANALYSIS;

EID: 2342651539     PISSN: 00457949     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compstruc.2004.03.003     Document Type: Article

References (56)

1. Hansen MP. Tabu search for multiobjective optimization: MOTS. In: Proceedings of MCDM'97, Cape Town, South Africa, January 1997. p. 6-10.
2. Suppapitnarm A., Seffen K.A., Parks G.T., Clarkson P.J. Simulated annealing algorithm for multiobjective optimization. Eng. Optim. 33(1):2000;59-85.
3. Mariano CE, Morales E. A multiple objective Ant-Q algorithm for the design of water distribution irrigation networks. Technical report HC-9904, Instituto Mexicano de Tecnología del Agua; 1999.
4. Rao S.S., Sundararaju K., Prakash B.G., Balakrishna C. Multi-objective fuzzy optimization techniques for engineering design. Comput. Struct. 42(1):1992;37-44.
5. Balicki J, Kitowski Z, Stateczny A. Extended Hopfield models of neural networks for combinatorial multi-objective optimization problems. In: The IEEE International Joint Conference on Neural Networks. IEEE World Congress on Computational Intelligence; 1998. p. 1646-51.
6. Deb K. Multi-objective optimization using evolutionary algorithms. 2001;John Wiley and Sons, New York.
7. Zitzler E., Deb K., Thiele L., Coello Coello C.A., Corne D. Evolutionary multi-criterion optimization. 2001;Springer, Berlin.
8. Coello Coello C.A., Van Veldhuizen D.A., Lamont G.B. Evolutionary algorithms for solving multi-objective problems. 2002;Kluwer Academic Publishers, New York.
9. Osyczka A. Evolutionary algorithms for single and multicriteria design optimization. 2002;Physica Verlag, Germany.
10. Coello CAC. Multi-objective engineering design optimization using genetic algorithms. Phd thesis, Department of Computer Science, Tulane University; 1996.
11. Goldberg D.E. Genetic algorithms in search optimization & learning. 1989;Addison-Wesley, Reading, MA.
12. Tazawa I., Koakutsu S., Hirata H. An immunity based genetic algorithm and its application to the VLSI floorplan design problem. Proc. IEEE Int. Conf. Evolut. Comput. 1996;417-421.
13. Bersini H, Varela FJ. The immune recruitment mechanism: a selective evolutionary strategy. In: Proceedings of the 4th International Conference on Genetic Algorithms; 1991. p. 520-6.
14. Mori K., Tsukiyama M., Fukuda T. Immune algorithm with searching diversity and its application to resource allocation problem. IEE Jpn. 113-C(10):1993;872-878.
15. Jiao L., Wang L. A novel genetic algorithm based on immunity. IEEE Trans. Syst., Man, Cybernet. - Part A: Syst. Humans. 30(5):2000;552-561.
16. Hajela P., Yoo J., Lee J. GA based simulation of immune networks applications in structural optimization. Eng. Optim. 22:1997;131-149.
17. Fukuda T., Mori K., Tsukiyama M. Parallel search for multi-modal function optimization with diversity and learning of immune algorithm. Dasgupta D. Artificial immune systems and their applications. 1999;Springer-Verlag, Berlin, Heidelberg.
18. Chun JS, Lim JP, Jung HK, Jung HK. Multisolution optimization of permanent magnet linear synchronous motor for high thrust and acceleration operation. In: Electric Machines and Drives. International Conference IEMD '99; 1999. p. 57-9.
19. Yoo J., Hajela P. Immune network simulations in multicriterion design. Struct. Optim. 18:1999;85-94.
20. Roitt I., Brostoff J. Immunology, 5/e. 1998;Mosby International Ltd.
21. Dasgupta D. Artificial immune systems and their applications. 1999;Springer-Verlag, Berlin, Heidelberg.
22. de Castro LN, Von Zuben FJ. Artificial immune systems: part I - basic theory and applications. Technical report TR-DCA 01/99; 1999.
23. de Castro LN, Von Zuben FJ. Artificial immune systems: part II - a survey of applications. Technical report TR-DCA 02/00; 2000.
24. Corne D., Dorigo M., Glover F. Coren D., Dorigo M., Glover F. New ideas in optimization, part three: immune system methods. 1999;McGraw-Hill, New York.
25. Luh G.C., Chueh C.H., Liu W.W. MOIA: multi-objective immune algorithm. Eng. Optim. 35:2003;143-164.
26. Deb K. Multi-objective genetic algorithms: problem difficulties and construction of test problems. Evolution. Comput. 7(3):1999;205-230.
27. Zitzler E, Marco L. Test problems and test data for multiobjective optimizers. Test problem suite. Available from: www.tik.ee.ethz.ch/~/testdata. html.
28. Zitzler E, Thiele L. An evolutionary algorithm for multi-objective optimization: the strength Pareto approach. Technical report 43, Computer Engineering and Communication Network Lab (TIK), Swiss Federal Institute of Technology (EIH), Zurich, Switzerland; 1998.
29. Murata T, Ishibuchi H. MOGA: multi-objective genetic algorithms. In: Proceedings of the Second IEEE International Conference on Evolutionary Computation; 1995. p. 289-94.
30. Horn J, Nafpliotis N, Goldberg DE. A niched Pareto genetic algorithm for multi-objective optimization. In: Proceedings of the First IEEE Conference on Evolutionary Computation; 1994. p. 82-7.
31. Srinivas N., Deb K. Multi-objective optimization using non-dominated sorting in genetic algorithms. Evolution. Comput. 2(3):1994;221-248.
32. Moh J.S., Chiang D.Y. Improved simulated annealing search for structural optimization. AIAA J. 38(10):2000;1965-1973.
33. Fourie P.C., Groenwold A.A. The particle swarm optimization algorithm in size and shape optimization. Struct. Multidisc. Optim. 23:2002;259-267.
34. Gutkowski W., Iwanow Z., Bauer J. Controlled mutation in evolutionary structural optimization. Struct. Multidisc. Optim. 21:2001;355-360.
35. Shih C.J., Yu K.C. Weighting objectives strategy in multicriterion fuzzy mechanical and structural optimization. Struct. Eng. Mech. 394:1995;373-382.
36. Ishida R., Sato T., Sugiyama Y. Optimum design of truss structure by genetic immune recruitment mechanism. Jpn. Soc. Mech. Eng. 61(581):1995;205-210.
37. Coello C.A., Christiansen A.D. Multiobjetive optimization of trusses using genetic algorithms. Comput. Struct. 75(6):2000;647-660.
38. Erbatur F., Ohasancebi O., Tütüncü I., Kilic H. Optimal design of planar and space structures with genetic algorithms. Comput. Struct. 75:2000;209-224.
39. Narayanan S. On improving multiobjective genetic algorithms for design optimization. Struct. Optim. 18(2-3):1998;146-155.
40. Ponterosso P., Fox D.S.J. Heuristically seeded genetic algorithms applied to truss optimization. Eng. Comput. 15:1999;345-355.
41. Fadel G., Li Y. Approximating the Pareto curve to help solve biobjective design problems. Struct. Multidisc. Optim. 23:2002;280-296.
42. Deb K., Gulati S. Design of truss-structures for minimum weight using genetic algorithms. Finite Elem. Anal. Design. 37:2001;447-465.
43. Templeman A.B. Discrete optimum structural design. Comput. Struct. 30(3):1988;511-518.
44. Loh H.T., Papalambros P.Y. A sequential linearization approach for solving mixed-discrete nonlinear design optimization problems. ASME Trans. J. Mech. Des. 113(3):1991;325-334.
45. Wu S.J., Chow P.T. Steady-state genetic algorithms for discrete optimization of trusses. Comput. Struct. 56(6):1995;979-991.
46. Rajeev S., Krishnamoorthy C.S. Discrete optimization of structures using genetic algorithms. J. Struct. Eng. 118(5):1992;1233-1250.
47. Wu S.J., Chow P.T. Integrated discrete and configuration optimization of trusses using genetic algorithms. Comput. Struct. 55(4):1995;695-702.
48. Deb K, Pratap A, Meyarivan T. Constrained test problems for multi-objective evolutionary optimization. In: First International Conference, EMO; 2001. p. 284-98.
49. Krawinkel U., Zoebelein G., Bruggemann M., Radburch A., Rajewsky K. Recombination between antibody heavy chain variable-region genes: evidence for gene conversion. Proc. Natl. Acad. Sci. USA. 80:1983;4997-5001.
50. Harris R.S., Kong Q., Maizels N. Somatic hypermutation and the three R's: repair, replication and recombination. Mutat. Res. 436:1999;157-178.
51. Perelson A.S., Mirmirani M., Oster G.F. Optimal strategies in immunology II. B memory cell production. J. Math. Biol. 3:1978;325-367.
52. Little M., Breitling F., Dubel S., Fuchs P., Braunagel M. Human antibody libraries in Escherichia coli. J. Biotechnol. 41:1995;187-195.
53. Manser T., Wysocki L.J., Margolies M.N., Gefter M.L. Evolution of antibody variable region structure during the immune response. Immunol. Rev. 96:1987;141-162.
54. Michalewicz Z., Dasgupta D., Le Riche R.G., Schoenauer M. Evolutionary algorithms for constrained engineering problems. Comput. Ind. Eng. 30(4):1996;851-870.
55. Hasanc Àebi O., Erbatur F. Evaluation of crossover techniques in genetic algorithm based optimum structural design. Comput. Struct. 78:2001;435-448.
56. Deb K, Agrawal S, Pratap A, Meyarivan T. A fast elitist non-dominated sorting genetic algorithms for multi-objectivemoptimization: NSGA-II. In: Proceedings of the Parallel Problem Solving Form Nature VI Conference; 2000. p. 849-58.