Email this article Comparative study of optimum cost design of reinforced concrete retaining wall via metaheuristics
DOI: https://doi.org/10.20528/cjcrl.2020.03.004
View Counter: Abstract | 1125 times | ‒ Full Article | 467 times |
Full Text:
PDFAbstract
Design engineers may find various options of metaheuristic method in optimization of their problems. Because of the randomization nature of metaheuristic methods, solutions may trap to non-optimum solutions which are just optimums in a limited part of the selected range of the design variables. Generally, metaheuristics use several options to prevent this situation, but the same optimization process may solve different performances in every run of the process. Due to that, a comparative study by using ten different algorithms was done in this study. The optimization problem is the cost minimization of an L-shaped reinforced concrete (RC) retaining wall. The evaluation is done by conducting 30 multiple cycles of optimization, and comparing minimum cost, average cost and standard deviation values.
Keywords
References
ACI 318-14 (2014). Building Code Requirements for Structural Concrete and Commentary. ACI Committee. Farmington Hills, MI.
Ahmadi-Nedushan B, Varaee H (2009). Optimal design of reinforced concrete retaining walls using a swarm intelligence technique. Proceedings of the first International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering, UK.
Aydogdu I (2017). Cost optimization of reinforced concrete cantilever retaining walls under seismic loading using a biogeography-based optimization algorithm with Levy flights. Engineering Optimization, 49(3), 381-400.
Camp CV, Akin A (2012). Design of retaining walls using big bang–big crunch optimization. Journal of Structural Engineering, 138(3), 438-448.
Ceranic B, Fryer C, Baines RW (2001). An application of simulated annealing to the optimum design of reinforced concrete retaining structures. Computers & Structures, 79(17), 1569-1581.
Geem ZW, Kim JH, Loganathan GV (2001). A new heuristic optimization algorithm: harmony search. Simulation, 76(2), 60-68.
Holland JH (1975). Adaptation in natural and artificial systems, University of Michigan Press. Ann Arbor, MI.
Karaboga D (2005). An idea based on honey bee swarm for numerical optimization. Technical Report TR06, (Vol. 200, pp. 1-10), Department of Computer Engineering, Engineering Faculty, Erciyes University, Turkey.
Kaveh A, Abadi ASM (2011). Harmony search based algorithms for the optimum cost design of reinforced concrete cantilever retaining walls, International Journal of Civil Engineering. 9(1) 1-8.
Kaveh A, Kalateh-Ahani M, Fahimi-Farzam M (2013). Constructability optimal design of reinforced concrete retaining walls using a multi-objective genetic algorithm. Structural Engineering and Mechanics, 47(2), 227-245.
Kayabekir AE, Bekdaş G, Nigdeli SM (2020). Metaheuristic Approaches for Optimum Design of Reinforced Concrete Structures: Emerging Research and Opportunities: Emerging Research and Opportunities. IGI Global, USA
Kennedy J, Eberhart RC (1995). Particle swarm optimization. Proceedings of IEEE International Conference on Neural Networks No. IV, Perth Australia; November 27 - December 1. 1942–1948
Khajehzadeh M, Taha MR, Eslami M (2013). Efficient gravitational search algorithm for optimum design of retaining walls. Structural Engineering and Mechanics, 45(1), 111-127.
Mergos PE, Mantoglou F (2020). Optimum design of reinforced concrete retaining walls with the flower pollination algorithm. Structural and Multidisciplinary Optimization, 61(2), 575-585.
Mirjalili S, Mirjalili SM, Lewis A (2014). Grey wolf optimizer. Advances in Engineering Software, 69, 46-61.
Rao RV, Savsani VJ, Vakharia DP (2011). Teaching–learning-based optimization: a novel method for constrained mechanical design optimization problems. Computer-Aided Design, 43(3), 303-315.
Rao R (2016). Jaya: A simple and new optimization algorithm for solving constrained and unconstrained optimization problems. International Journal of Industrial Engineering Computations, 7(1), 19-34.
Sheikholeslami R, Khalili BG, Zahrai SM (2014). Optimum cost design of reinforced concrete retaining walls using hybrid firefly algorithm. International Journal of Engineering and Technology, 6(6), 465.
Storn R, Price K (1997). Differential evolution–a simple and efficient heuristic for global optimization over continuous spaces. Journal of global optimization, 11(4), 341-359.
Yang XS (2009). Firefly algorithms for multimodal optimization. In Stochastic algorithms: foundations and applications, Springer, Berlin Heidelberg, 169-178.
Yang XS (2012). Flower pollination algorithm for global optimization. International Conference on Unconventional Computing and Natural Computation, September Heidelberg-Berlin, Springer, 240-249.
Yepes V, Alcala J, Perea C, González-Vidosa F (2008). A parametric study of optimum earth-retaining walls by simulated annealing. Engineering Structures, 30(3), 821-830.
