참고문헌
- AIOS, C. (2001), "Manual for Steel Construction", Load and Resistance Factor Design, American Institute of Steel Construction-AISC Chicago.
- Alatas, B. (2019), "Sports inspired computational intelligence algorithms for global optimization", Artif. Intell. Rev., 52(3), 1579-1627. https://doi.org/10.1007/s10462-017-9587-x.
- Armenteros, M. and D. Curca (2008), "Use of educational hypermedia for learning Laws of Game, FIFA Multimedia Teaching Materials", Proceedings XII World Conference on Educational Multimedia, Hypermedia and Telecommunications, Vienna, Austria.
- Aydogdu, I. (2010), "Optimum design of 3-d irregular steel frames using ant colony optimization and harmony search algorithms", Thesis, Graduate School of Natural and Applied Sciences, Ankara, Turkey.
- Beddall, B.G. (1968), "Wallace, Darwin, and the theory of natural selection: A study in the development of ideas and attitudes", J. History Biol., 261-323.
- Beyer, H.G. and Schwefel, H.P. (2002), "Evolution strategies-a comprehensive introduction", Nat. Comput., 1(1), 3-52. https://doi.org/10.1023/A:1015059928466.
- Bouchekara, H. (2020), "Most valuable player algorithm: A novel optimization algorithm inspired from sport", Operat. Res., 20(1), 139-195. https://doi.org/10.1007/s12351-017-0320-y.
- Colwell, S. (2000), "The 'letter'and the 'spirit': Football laws and refereeing in the twenty-first century", Soccer Soc., 1(1), 201-214. https://doi.org/10.1080/14660970008721259.
- Dorigo, M., Maniezzo, V. and Colorni, A. (1996), "Ant system: Optimization by a colony of cooperating agents", IEEE T. Syst. Man Cy. B, 26(1), 29-41. https:// doi.org/10.1109/3477.484436
- Erol, O.K. and Eksin, I. (2006), "A new optimization method: big bang-big crunch", Adv. Eng. Softw., 37(2), 106-111. https://doi.org/10.1016/j.advengsoft.2005.04.005.
- Fadakar, E. and M. Ebrahimi (2016), "A new metaheuristic football game inspired algorithm", Proceedings of the 2016 1st Conference on Swarm Intelligence And Evolutionary Computation (CSIEC), Bam, Iran, March. https://doi.org/10.1109/CSIEC.2016.7482120.
- Geethaikrishnan, C., Mujumdar, P.M., Sudhakar, K. and Adimurthy, V. (2009), "A robust and efficient hybrid algorithm for global optimization", Proceedings of the 2009 IEEE International Advance Computing Conference, Patiala, India, March. https://doi.org/10.1109/IADCC.2009.4809059.
- Ghasemi, M.R., Ghasri, M. and Salarnia, A.H. (2022), "ANFIS-TLBO hybrid approach to predict compressive strength of rectangular frp columns", Iran Univ. Sci. Technol., 12(3), 399-410.
- Gilis, B., Weston, M., Helsen, W.F., Junge, A. and Dvorak, J. (2006), "Interpretation and application of the laws of the game in football incidents leading to player injuries", Int. J. Sport Psychol., 37(2-3), 121-138.
- Gujarathi, P.K., Shah, V.A. and Lokhande, M.M. (2020), "Hybrid artificial bee colony-grey wolf algorithm for multi-objective engine optimization of converted plug-in hybrid electric vehicle", Adv. Energy Res., 7(1), 35-52. https://doi.org/10.12989/eri.2020.7.1.035.
- Gupta, N., Khosravy, M., Mahela, O. P. and Patel, N. (2020). Plant Biology-Inspired Genetic Algorithm: Superior Efficiency to Firefly Optimizer, in Applications of Firefly Algorithm and Its Variants, Springer, Singapore.
- Hatamzadeh, P. and Khayyambashi, M. (2012), "Neural network learning based on football optimization algorithm", Proceedings of the Third International Conference on Contemporary Issues in Computer and Information Sciences (CICIS 2012).
- Hayyolalam, V. and Kazem, A.A.P. (2020), "Black widow optimization algorithm: A novel meta-heuristic approach for solving engineering optimization problems", Eng. Appl. Artif. Intell., 87, 103249. https://doi.org/10.1016/j.engappai.2019.103249.
- Holland, J. (1975), Adaptation in Natural and Artificial Systems: An Introductory Analysis with Application to Biology, Control and Artificial Intelligence, MIT press.
- Kashan, A.H. (2009), "League championship algorithm: A new algorithm for numerical function optimization", Proceedings of the 2009 International Conference of Soft Computing and Pattern Recognition, Malacca, Malaysia, December.
- Kaveh, A. and Bakhshpoori, T. (2016), "An efficient multi-objective cuckoo search algorithm for design optimization", Adv. Comput. Des., 1(1), 87-103. http://doi.org/10.12989/acd.2016.1.1.087.
- Kaveh, A., Hamedani, K.B., Hosseini, S.M. and Bakhshpoori, T. (2020), "Optimal design of planar steel frame structures utilizing meta-heuristic optimization algorithms", Structures, 25, 335-346. https://doi.org/10.1016/j.istruc.2020.03.032.
- Kennedy, J. and Eberhart, R. (1995), "Particle swarm optimization. Proceedings of ICNN'95-international conference on neural networks", Proceedings of Icnn'95-International Conference on Neural Networks, Perth, WA, Australia. https://doi.org/10.1109/ICNN.1995.488968.
- Khajeh, A., Ghasemi, M. and Ghohani Arab, H. (2017), "Hybrid particle swarm optimization, grid search method and univariate method to optimally design steel frame structures", Iran Univ. Sci. Technol., 7(2), 173-191.
- Khaji, E. (2014), "Soccer league optimization: A heuristic algorithm inspired by the football system in European countries", arXiv preprint, arXiv:1406.4462.
- Kim, B. and Lee, Y. (2017), "Genetic algorithms for balancing multiple variables in design practice", Adv. Comput. Des., 2(3), 225-240. https://doi.org/10.12989/acd.2017.2.3.225.
- Kirkpatrick, S., Gelatt, C.D. and Vecchi, M.P. (1983), "Optimization by simulated annealing", Science, 220(4598), 671-680. https://doi.org/10.1126/science.220.4598.671
- Koza, J.R. and Poli, R. (2005), Genetic Programming in Search Methodologies, Springer, Boston, U.S.A.
- Mahallati Rayeni, A., Ghohani Arab, H. and Ghasemi, M. (2018), "Optimization of steel moment frame by a proposed evolutionary algorithm", Iran Univ. Sci. Technol., 8(4), 511-524. http://ijoce.iust.ac.ir/article-1-360-en.html.
- Nestruev, J., Bocharov, A. and Duzhin, S. (2003), Smooth Manifolds and Observables, Springer.
- Pezeshk, S., Camp, C. and Chen, D. (2000), "Design of nonlinear framed structures using genetic optimization", J. Struct. Eng., 126(3), 382-388. https://doi.org/10.1007/s11721-007-0002-0.
- Purnomo, H.D. and Wee, H.M. (2013), Soccer Game Optimization: An Innovative Integration of Evolutionary Algorithm and Swarm Intelligence Algorithm in Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance, IGI Global.
- Rashedi, E., Nezamabadi-Pour, H. and Saryazdi, S. (2009), "GSA: A gravitational search algorithm", Inform. Sci., 179(13). 2232-2248. https://doi.org/10.1016/j.ins.2009.03.004.
- Salarnia, A. and Ghasemi, M. (2021), "Practical optimization of pedestrian bridges using grid search sensitivity based PSO", Iran Univ. Sci. Technol., 11(3), 445-459.
- Shiqin, Y., Jianjun, J. and Guangxing, Y. (2009), A Dolphin Partner Optimization, in 2009 WRI Global Congress on Intelligent Systems, Xiamen, China, May.
- Varaee, H. and Ghasemi, M.R. (2017), "Engineering optimization based on ideal gas molecular movement algorithm", Eng. Comput., 33(1), 71-93. https://doi.org/10.1007/s00366-016-0457-y.