References
- Bureerat, S. and Pholdee, N. (2015), "Optimal truss sizing using an adaptive differential evolution algorithm", J. Comput. Civil Eng., 30(2), 04015019.
- Cheng, M.Y. and Prayogo, D. (2014), "Symbiotic organisms search: a new metaheuristic optimization algorithm", Comput. Struct., 139, 98-112. https://doi.org/10.1016/j.compstruc.2014.03.007
- Gandomi, A.H., Yang, X.S. and Alavi, A.H. (2013), "Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems", Eng. Comput., 29(1), 17-35. https://doi.org/10.1007/s00366-011-0241-y
- Garcia-Segura, T., Yepes, V. and Frangopol, D.M. (2017), "Multi-objective design of post-tensioned concrete road bridges using artificial neural networks", Struct. Multidiscip. O., 56(1) ,139-150. https://doi.org/10.1007/s00158-017-1653-0
- Geem, Z.W., Kim, J.H. and Loganathan, G. (2001), "A new heuristic optimization algorithm: harmony search", Simulation, 76(2), 60-68. https://doi.org/10.1177/003754970107600201
- Guo, S.M., Tsai, J.S.H., Yang, C.C. and Hsu, P.H. (2015), "A self-optimization approach for L-SHADE incorporated with eigenvector-based crossover and successful-parent-selecting framework on CEC 2015 benchmark set", Proceedings of the Evolutionary Computation (CEC), 2015 IEEE Congress on. IEEE.
- Hasancebi, O. and Azad, S.K. (2013), "Reformulations of big bang-big crunch algorithm for discrete structural design optimization", World Academy of Science Engineering and Technology, 74.
- Hasancebi, O., Carbas, S. and Saka, M. (2011), "A reformulation of the ant colony optimization algorithm for large scale structural optimization", Proceedings of the 2nd International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering. Civil-Comp Press Stirlingshire.
- Highway AAoS and Officials T. (2002), Standard specifications for highway bridges: AASHTO.
- Islam, N., Rana, S., Ahsan, R. and Ghani, S.N. (2014), "An optimized design of network arch bridge using global optimization algorithm", Adv. Struct. Eng., 17(2), 197-210. https://doi.org/10.1260/1369-4332.17.2.197
- Kaveh, A., Bakhshpouri, T. and Barkhori, M. (2014), "Optimum design of multi-span composite box girder bridges using Cuckoo Search algorithm", Applications of Metaheuristic Optimization Algorithms in Civil Engineering, 31-46.
- Kaveh, A. (2017a), Advances in Metaheuristic Algorithms for Optimal Design of Structures. Springer, Switzerland.
- Kaveh, A. (2017b), Applications of Metaheuristic Optimization Algorithms in Civil Engineering. Springer, Switzerland.
- Kaveh, A. and Ilchi Ghazaan, M. (2015), "Hybridized optimization algorithms for design of trusses with multiple natural frequency constraints", Adv. Eng. Softw., 79, 137-147. https://doi.org/10.1016/j.advengsoft.2014.10.001
- Kaveh, A. and Mahjoubi, S. (2017), "Lion Pride Optimization Algorithm: a meta-heuristic method for design optimization problems", Scientia Iranica, Submitted for publication.
- Kaveh, A. and Talatahari, S. (2010), "A novel heuristic optimization method: charged system search", Acta Mechanica, 213(3-4), 267-289. https://doi.org/10.1007/s00707-009-0270-4
- Kaveh, A. and Zolghadr, A. (2012), "Truss optimization with natural frequency constraints using a hybridized CSS-BBBC algorithm with trap recognition capability", Comput. Struct., 102-103, 14-27. https://doi.org/10.1016/j.compstruc.2012.03.016
- Kennedy, J. and Eberhart, R. (1995), "Particle swarm optimization", Proceedings of the Neural Networks, 1995. IEEE International Conference on. 1942-1948 vol.1944.
- Martinez F.J., Gonzalez-Vidosa, F., Hospitaler, A. and Yepes, V. (2012), "Multi-objective optimization design of bridge piers with hybrid heuristic algorithms", J. Zhejiang Univ. - Sci. A, 13(6), 420-432. https://doi.org/10.1631/jzus.A1100304
- Martinez, F.J., Gonzalez-Vidosa, F, Hospitaler A. and Alcala, J. (2011), "Design of tall bridge piers by ant colony optimization", Eng. Struct., 33(8), 2320-2329. https://doi.org/10.1016/j.engstruct.2011.04.005
- MatLab, M. (2012), "The language of technical computing", The MathWorks, Inc. http://www.mathworks.com.
- Mirjalili, S. (2015), "The ant lion optimizer", Adv. Eng. Softw., 83, 80-98. https://doi.org/10.1016/j.advengsoft.2015.01.010
- Mirjalili, S. (2016), "SCA: a sine cosine algorithm for solving optimization problems", Knowledge-Based Syst., 96, 120-133. https://doi.org/10.1016/j.knosys.2015.12.022
- Mirjalili, S., Gandomi, A.H., Mirjalili, S.Z., Saremi, S. Faris, H. and Mirjalilie, S.M. (2017), "Salp swarm algorithm: a bio-inspired optimizer for engineering design problems", Adv. Eng. Softw., in press.
- Mirjalili, S., Mirjalili, S.M. and Lewis, A. (2014), "Grey wolf optimizer", Adv. Eng. Softw., 69, 46-61. https://doi.org/10.1016/j.advengsoft.2013.12.007
- Rao, R. (2016), "Jaya: A simple and new optimization algorithm for solving constrained and unconstrained optimization problems", Int. J. Ind. Eng. Comput., 7(1), 19-34.
- Redondo, J.L. (2009), Solving competitive location problems via memetic algorithms. High performance computing approaches: Universidad Almeria.
- Sgambi, L., Gkoumas, K. and Bontempi, F. (2012), "Genetic algorithms for the dependability assurance in the design of a long-span suspension bridge", Comput.-Aided Civil Infrastruct. Eng., 27(9), 655-675. https://doi.org/10.1111/j.1467-8667.2012.00780.x
- Srinivas, V. and Ramanjaneyulu, K. (2007), "An integrated approach for optimum design of bridge decks using genetic algorithms and artificial neural networks", Adv. Eng. Softw., 38(7), 475-487. https://doi.org/10.1016/j.advengsoft.2006.09.016
- Stander, P.E. (1992), "Cooperative hunting in lions: the role of the individual", Behav. Ecol. Sociobiol., 29(6), 445-454. https://doi.org/10.1007/BF00170175
- Tanabe, R. and Fukunaga, A.S. (2014), "Improving the search performance of SHADE using linear population size reduction", Proceedings of the Evolutionary Computation (CEC), 2014 IEEE Congress on. IEEE.
- Wilson, E.L. and Habibullah, A. (2002), "Structural analysis program", SAP2000. Computers and Structures Inc., California.
- Yang, X.S. (2010), "Firefly algorithm, stochastic test functions and design optimisation", Int. J. Bio-Inspired Comput., 2(2), 78-84. https://doi.org/10.1504/IJBIC.2010.032124
- Yazdani, M. and Jolai, F. (2016), "Lion optimization algorithm (LOA): A nature-inspired metaheuristic algorithm", J. Comput. Des. Eng., 3(1), 24-36. https://doi.org/10.1016/j.jcde.2015.06.003
- Yepes, V., Marti, J.V., Garcia-Segura, T. and Gonzalez-Vidosa, F. (2017), "Heuristics in optimal detailed design of precast road bridges", Arch. Civil Mech. Eng., 17(4), 738-749. https://doi.org/10.1016/j.acme.2017.02.006
- Yi, T.H., Li, H.N. and Zhang, X.D. (2012), "Sensor placement on Canton Tower for health monitoring using asynchronous-climb monkey algorithm", Smart Mater. Struct., 21(12), 125023. https://doi.org/10.1088/0964-1726/21/12/125023
- Yi, T.H., Li, H.N. and Gu, M. (2011), "Optimal sensor placement for structural health monitoring based on multiple optimization strategies", Struct. Des. Tall Spec. Build., 20(7), 881-900. https://doi.org/10.1002/tal.712
- Zhang, J. and Sanderson, A.C. (2009), "JADE: adaptive differential evolution with optional external archive", IEEE T. Evolut. Comput., 13(5), 945-958. https://doi.org/10.1109/TEVC.2009.2014613
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