DOI QR코드

DOI QR Code

Observer-Teacher-Learner-Based Optimization: An enhanced meta-heuristic for structural sizing design

  • 투고 : 2015.12.04
  • 심사 : 2017.04.11
  • 발행 : 2017.06.10

초록

Structural sizing is a rewarding task due to its non-convex constrained nature in the design space. In order to provide both global exploration and proper search refinement, a hybrid method is developed here based on outstanding features of Evolutionary Computing and Teaching-Learning-Based Optimization. The new method introduces an observer phase for memory exploitation in addition to vector-sum movements in the original teacher and learner phases. Proper integer coding is suited and applied for structural size optimization together with a fly-to-boundary technique and an elitism strategy. Performance of the proposed method is further evaluated treating a number of truss examples compared with teaching-learning-based optimization. The results show enhanced capability of the method in efficient and stable convergence toward the optimum and effective capturing of high quality solutions in discrete structural sizing problems.

키워드

참고문헌

  1. AISC-ASD (1989), Manual of steel construction-allowable stress design, 9th ed., Chicago, IL, USA.
  2. Arora, J.S. (2004), Introduction to optimum design, Elsevier, US.
  3. Baghlani, A. and Makiabad, M. (2013), "Teaching-learning-based optimization algorithm for shape and size optimization of truss structures with dynamic frequency constraints", IJST Trans. Civil Eng., 37(C), 409-421.
  4. Camp, C.V. and Bichon, B.J. (2004), "Design of space trusses using ant colony optimization", J. Struct. Eng., 130(5), 741-751. https://doi.org/10.1061/(ASCE)0733-9445(2004)130:5(741)
  5. Crepinsek, M., Liu, S.H. and Mernik, M. (2012), "Note on teaching-learning-based optimization algorithm", Info. Sci., 212, 79-93. https://doi.org/10.1016/j.ins.2012.05.009
  6. Crepinsek, M., Liu, S.H. and Mernik, M. (2013), "Exploration and exploitation in evolutionary algorithms: A survey", ACM Comput. Surv., 45(3), Article 35.
  7. Deb, K. (2000), "An efficient constraint handling method for genetic algorithms", Comput. Meth. Appl. Mech. Eng., 186(2), 311-338. https://doi.org/10.1016/S0045-7825(99)00389-8
  8. Degertekin, S.O. and Hayalioglu, M.S. (2013), "Sizing truss structures using teaching-learning-based optimization", Comput. Struct., 19, 177-188.
  9. Fister, I., Yang, X.S., Fister, I., Brest, J. and Fister, D. (2013), "A brief review of nature-inspired algorithms for optimization", Elektroteh. Vest., 80(3), 1-7.
  10. Geem, Z.W. (2009), Music-Inspired Harmony Search Algorithm, Springer.
  11. Hasancebi, O., Carbas, S., Dogan, E., Erdal, F. and Saka, M.P. (2009), "Performance evaluation of meta-heuristic search techniques in the optimum design of real size pin jointed structures", Comput. Struct., 87(5-6), 284-302. https://doi.org/10.1016/j.compstruc.2009.01.002
  12. Kaveh, A. (2014), Advances in Meta-heuristic Algorithms for Optimal Design of Structures, Springer, Switzerland.
  13. Kaveh, A. and Hosseini, P. (2014), "A simplified dolphin echolocation optimization method for optimum design of trusses", Int. J. Opt. Civ. Eng., 4, 381-397.
  14. Kaveh, A. and Mahdavi, V.R. (2014), "Colliding bodies optimization: A novel meta-heuristic method", Comput. Struct., 139, 18-27. https://doi.org/10.1016/j.compstruc.2014.04.005
  15. Kaveh, A. and Shahrouzi, M. (2005), "Direct index coding for discrete sizing optimization of structures by genetic algorithms", Int. J. Civ. Eng., 3-4(3), 166-181.
  16. Kaveh, A. and Talatahari, S. (2009), "A particle swarm ant colony optimization for truss structures with discrete variables", J. Const. Steel Res., 65(8), 1558-1568. https://doi.org/10.1016/j.jcsr.2009.04.021
  17. Kaveh, A. and Zolghadr, A. (2014), "Comparison of nine metaheuristic algorithms for optimal design of truss structures with frequency constraints", Adv. Eng. Soft., 76, 9-30. https://doi.org/10.1016/j.advengsoft.2014.05.012
  18. Kennedy, J. and Eberhart, R. (2001), Swarm intelligence, Academic Press, London, UK.
  19. Kripka, M. (2004), "Discrete optimization of trusses by simulated annealing", J. Braz. Soc. Mech. Sci. Eng., 26(2), 170-173.
  20. Lee, K.S. and Geem, Z.W. (2004), "A new structural optimization method based on the harmony search algorithm", Comput. Struct., 82(9-10), 781-798. https://doi.org/10.1016/j.compstruc.2004.01.002
  21. Li, L.J., Huang, Z.B. and Liu, F. (2009), "A heuristic particle swarm optimization method for truss structures with discrete variables", Comput. Struct., 87(7-8), 435-443. https://doi.org/10.1016/j.compstruc.2009.01.004
  22. Makiabad, M., Baghlani, A., Rahnema, H. and Hadianfard, M. (2013), "Optimal design of truss bridges using teachinglearning-based optimization algorithm", Int. J. Opt. Civ. Eng., 3(3), 499-510.
  23. Pholdee, N. and Bureerat, S. (2014), "Comparative performance of metaheuristic algorithms for mass minimisation of trusses with dynamic constraints", Adv. Eng. Soft., 75, 1-13. https://doi.org/10.1016/j.advengsoft.2014.04.005
  24. Shahrouzi, M. (2011), "A new hybrid genetic and swarm optimization for earthquake accelerogram scaling", Int. J. Opt. Civ. Eng., 1(1), 127-140.
  25. Shahrouzi, M. and Pashaei, M. (2013), "Pseudo-random directional search: a new heuristic for optimization", Sci. Iranica, 20(4), 1124-1132.
  26. Rao, R.V. (2016), Teaching Learning Based Optimization algorithm and its engineering applications, Springer, Switzerland.
  27. Rao, R.V. and Patel, V. (2012), "An elitist teaching-learning-based optimization algorithm for solving complex constrained optimization problems", Int. J. Indust. Eng. Comput., 3(4), 535-560. https://doi.org/10.5267/j.ijiec.2012.03.007
  28. Rao, R.V. and Patel, V. (2013), "An improved teaching-learningbased optimization algorithm for solving unconstrained optimization problems", Sci. Iranica, 20(3), 710-720.
  29. Rao, R.V., Savsani, V.J. and Vakharia, D.P. (2011), "Teachinglearning-based optimization: A novel method for constrained mechanical design optimization problems", Comput.-Aid. Des., 43(3), 303-315. https://doi.org/10.1016/j.cad.2010.12.015
  30. Rao, R.V., Savsani, V.J. and Vakharia, D.P. (2012), "Teachinglearning-based optimization: an optimization method for continuous non-linear large scale problems", Info. Sci., 183(1), 1-15. https://doi.org/10.1016/j.ins.2011.08.006
  31. Rajasekhar, A., Rani, R., Ramya, K. and Abraham, A. (2012), "Elitist Teaching Learning Opposition based algorithm for global optimization", SMC IEEE, 1124-1129.
  32. Sonmez, M. (2011), "Discrete optimum design of truss structures using artificial bee colony algorithm", Struct. Multi Disc. Opt., 43(1), 85-97. https://doi.org/10.1007/s00158-010-0551-5
  33. Togan, V. (2012), "Design of planar steel frames using teachinglearning Based Optimization", Eng. Struct. 34, 225-232. https://doi.org/10.1016/j.engstruct.2011.08.035
  34. Turkkan, N. (2003), "Discrete optimization of structures using a floating point genetic algorithm", Ann. Conf. Can. Soc. Civ. Eng., Monckton, Canada.
  35. Vecek, N., Crepinsek, M. and Mernik, M. (2014), "A chess rating system for evolutionary algorithms: A new method for the comparison and ranking of evolutionary algorithms", Info. Sci., 277, 656-679. https://doi.org/10.1016/j.ins.2014.02.154
  36. Wu, S.J. and Chow, P.T. (1995), "Steady-state genetic algorithms for discrete optimization of trusses", Comput. Struct., 56(6), 979-991. https://doi.org/10.1016/0045-7949(94)00551-D
  37. Yang, X.S. (2010), Engineering optimization, an introduction with meta-heuristic application, Cambridge University Press.

피인용 문헌

  1. Damage detection of truss structures by hybrid immune system and teaching-learning-based optimization vol.19, pp.7, 2017, https://doi.org/10.1007/s42107-018-0065-9
  2. Estimation of Daily Suspended Sediment Load Using a Novel Hybrid Support Vector Regression Model Incorporated with Observer-Teacher-Learner-Based Optimization Method vol.2021, pp.None, 2021, https://doi.org/10.1155/2021/5540284
  3. A new second-order approximation method for optimum design of structures vol.19, pp.1, 2017, https://doi.org/10.1080/14488353.2020.1798039
  4. A comparative study of multi-objective evolutionary metaheuristics for lattice girder design optimization vol.77, pp.3, 2017, https://doi.org/10.12989/sem.2021.77.3.417