1 |
Adeli, H. and Kumar, S. (1995), "Distributed genetic algorithm for structural optimization", J. Aerospace Eng., ASCE, 8(3), 156-163.
DOI
|
2 |
American Institute of Steel Construction (AISC) (1989), Manual of Steel Construction Allowable Stress Design, 9th Edition, Chicago, IL, USA.
|
3 |
Archer, G., Saltelli, A. and Sobol, I. (1997), "Sensitivity measures, ANOVA-like techniques and the use of bootstrap", J. Statist. Comput. Simul., 58, 99-120.
DOI
|
4 |
Arora, J.S. (1989), Introduction to Optimum Design, McGraw-Hill, New York, USA.
|
5 |
Belegundu, A.D. (1982), "A study of mathematical programming methods for structural optimization", Ph.D. Thesis, Department of Civil and Environmental Engineering, University of Iowa, Iowa, USA.
|
6 |
Camp, C.V. (2007), "Design of space trusses using Big Bang-Big Crunch optimization", J. Struct. Eng., ASCE, 133, 999-1008.
DOI
|
7 |
Camp, C.V. and Bichon B.J. (2004), "Design of space trusses using ant colony optimization", J. Struct. Eng., ASCE, 130, 741-751.
DOI
|
8 |
Chapman and Hall/CRC, Computer & Information Science Series, Chapman & Hall/CRC, UK
|
9 |
Coello, C.A.C. (2000), "Use of a self-adaptive penalty approach for engineering optimization problems", Comput. Indust. Eng., 41, 113-127.
DOI
|
10 |
Coello, C.A.C. and Montes, E.M. (2002), "Constraint-handling in genetic algorithms through the use of dominance-based tournament", IEEE Tran. Reliab., 41, 576-582.
|
11 |
Deb, K. (1991), "Optimal design of a welded beam via genetic algorithms", AIAA J., 29, 2013-2015.
DOI
|
12 |
Deb, K. (2000), "An efficient constraint handling method for genetic algorithms", Comput. Meth. Appl. Mech. Eng., 186(2-4), 311-338.
DOI
|
13 |
Dog, B. and Olmez T. (2015), "A new meta-heuristic for numerical function optimization: Vortex Search algorithm", Inform. Sci., 293, 125-145.
DOI
|
14 |
Dorigo, M., Maniezzo, V. and Colorni, A. (1996), "The ant system: optimization by a colony of cooperating agents", IEEE Tran. Syst. Man. Cyber B, 26, 29-41.
DOI
|
15 |
Eberhart, R.C. and Kennedy J. (1995), "A new optimizer using particle swarm theory", Proceedings of the Sixth International Symposium on Micro Machine and Human Science, Nagoya, Japan.
|
16 |
Erbatur, F., Hasancebi, O., Tutuncu, I. and Kilic, H. (2014), "Optimal design of planar and space structures with genetic algorithms", Comput. Struct., 75, 209-224.
|
17 |
Erol, O.K. and Eksin, I. (2006), "New optimization method: Big Bang-Big Crunch", Adv. Eng. Softw., 37, 106-111.
DOI
|
18 |
Gallagher, R.H., Ragsdell, K.M. and Zienkiewicz, O.C. (1984), New directions in optimum structural design, John Wiley, New York.
|
19 |
Gholizadeh, S. and Poorhoseini, H. (2015) "Optimum design of steel frame structures by a modified dolphin echolocation algorithm", Struct. Eng. Mech., 55, 535-554.
DOI
|
20 |
Gholizadeh, S., Gheyratmand, C. and Davoudi, H. (2016), "Optimum design of double layer barrel vaults considering nonlinear behavior", Struct. Eng. Mech., 58, 1109-1126.
DOI
|
21 |
Gonzalez, T.F. (2007), Handbook of approximation algorithms and meta-heuristics.
|
22 |
Hasancebi, O., Carbas, S., Dogan, E., Erdal, F. and Saka, M.P. (2009), "Performance evaluation of metaheuristic search techniques in the optimum design of real size pin jointed structures", Comput. Struct., 87, 284-302.
DOI
|
23 |
Kaveh, A. and Farhoudi, N. (2013), "A new optimization method: dolphin echolocation", Adv. Eng. Softw., 59, 53-70.
DOI
|
24 |
He, Q. and Wang, L. (2007), "An effective co-evolutionary particle swarm optimization for constrained engineering design problem", Eng. Appl. Artific. Intell., 20, 89-99.
DOI
|
25 |
Holland, J.H. (1975), Adaptation in Natural and Artificial Systems, University of Michigan Press, Ann Arbor.
|
26 |
Hooke, R. and Jeeves, T.A. (1961), "Direct search solution of numerical and statistical problems", J. Assoc. Comput. Mach., 8(2), 212-229.
DOI
|
27 |
Kaveh, A. and Ilchi Ghazaan, M. (2014), "Enhanced colliding bodies optimization for design problems with continuous and discrete variables", Adv. Eng. Softw., 77, 66-75.
DOI
|
28 |
Kaveh, A. and Khayatazad, M. (2012), "A novel meta-heuristic method: ray optimization", Comput. Struct., 112-113, 283-294.
DOI
|
29 |
Kaveh, A. and Mahdavi, V.R. (2014a), "Colliding bodies optimization: A novel meta-heuristic method", Comput. Struct., 139, 18-27.
DOI
|
30 |
Kaveh, A. and Mahdavi, V.R. (2014b), "Colliding bodies optimization method for optimum design of truss structures with continuous variables", Adv. Eng. Softw., 70, 1-12.
DOI
|
31 |
Kaveh, A. and Mahdavi, V.R. (2014c), "Colliding Bodies Optimization method for optimum discrete design of truss structures", Comput. Struct., 139, 43-53.
DOI
|
32 |
Kaveh, A. and Mahdavi, V.R. (2015), Colliding Bodies Optimization; Extensions and Applications, Springer International Publishing, Switzerland.
|
33 |
Kaveh, A. and Talatahari, S. (2010), "A novel heuristic optimization method: charged system search", Acta Mech., 213, 267-289.
DOI
|
34 |
Perez, R.E. and Behdinan, K. (2007), "Particle swarm approach for structural design optimization", Comput. Struct., 85, 1579-1588.
DOI
|
35 |
Kaveh, A., Ilchi Ghazaan, M. and Bakhshpoori, T. (2013), "An improved ray optimization algorithm for design of truss structures", Period Polytech., 57(2), 1-15.
|
36 |
Khot, N.S. and Berke, L. (1984), Structural optimization using optimality criteria methods.
|
37 |
Montes, E.M. and Coello, C.A.C. (2008), "An empirical study about the usefulness of evolution strategies to solve constrained optimization problems", Int. J. General. Syst., 37, 443-473.
DOI
|
38 |
Pianosi, F. and Wagener, T. (2015), "A simple and efficient method for global sensitivity analysis based on cumulative distribution functions", Environ. Modell. Softw., 67, 1-11.
DOI
|
39 |
Plischke, E., Borgonovo, E. and Smith, C.L. (2012), "Global sensitivity measures from given data", Eur. J. Oper. Res., 226, 536-550.
|
40 |
Ragsdell, K.M. and Phillips, D.T. (1976), "Optimal design of a class of welded structures using geometric programming", ASME J. Eng. Indust., 98(Ser. B), 1021-1025.
DOI
|
41 |
Rahman, S. (2011), "Global sensitivity analysis by polynomial dimensional decomposition", Reliab. Eng. Syst. Saf., 96, 825-37.
DOI
|
42 |
Talbi, E.G. (2009), Metaheuristics: From Design to Implementation, Wiley & Sons, Hoboken, New Jersey, USA.
|
43 |
Rastrigin, L.A. (1963), "The convergence of the random search method in the extremal control of a many parameter system", Autom. Remote Control, 24(10), 1337-1342.
|
44 |
Sadollah, A., Bahreininejad, A., Eskandar, H. and Hamdi, M. (2012) "Mine blast algorithm for optimization of truss structures with discrete variable", Comput. Struct., 102, 49-63.
|
45 |
Saka. M.P. (1990), "Optimum design of pin-jointed steel structures with practical applications", J. Struct. Eng., ASCE, 116, 2599-2620.
DOI
|
46 |
Saltelli, A., Annoni, P., Azzini, I., Campolongo, F., Ratto, M. and Tarantola, S. (2010), "Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index", Comput. Phys. Commun., 181, 259-270.
DOI
|
47 |
Soh, C.K. and Yang, J. (1996), "Fuzzy controlled genetic algorithm search for shape optimization", J. Comput. Civil Eng., ASCE, 10, 143-150.
DOI
|
48 |
Yang, X.S. (2010), Nature-inspired meta-heuristic algorithms, Luniver Press, 2nd Edition, UK.
|
49 |
Zhai, Q., Yang, J. and Zhao, Y. (2014), "Space-partition method for the variance-based sensitivity analysis: Optimal partition scheme and comparative study", Reliab. Eng. Syst. Saf., 131, 66-82.
DOI
|
50 |
Kaveh, A. and Bakhshpoori, T. (2016) "Water evaporation optimization: a novel physically inspired optimization algorithm", Comput. Struct., 167, 69-85.
DOI
|
51 |
Mirjalili, S., Lewis, A. (2016), "The whale optimization algorithm", Adv. Eng. Softw., 95, 51-67.
DOI
|