Baker, J. E. (1987). Reducing bias and inefficiency in the selection algorithm. In Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application (pp. 14–21). Hillsdale, NJ, USA: L. Erlbaum Associates Inc. Retrieved from http://dl.acm.org/citation.cfm?id=42512.42515
Boonlong, K. (2013). Multiobjective Optimization of a Vehicle Vibration Model Using the Improved Compressed-Objective Genetic Algorithm with Convergence Detection. Advances in Mechanical Engineering, 2013.
Deb, K., & Agrawal, R. B. (1994). Simulated Binary Crossover for Continuous Search Space.
Doebling, S. W., Farrar, C. R., & Prime, M. B. (1998). A Summary Review of Vibration-Based Damage Identification Methods. Identification Methods,” The Shock and Vibration Digest, 30, 91–105.
Goldberg, D. E. (1989). Genetic Algorithms in Search, Optimization, and Machine Learning. Addisson-Wesley.
Grosso, P. B. (1985). Computer simulations of genetic adaptation: parallel subcomponent interaction in a multilocus model. University of Michigan, Ann Arbor, MI, USA.
Holland, J. (1975). Adaption in Natural and Artificial Systems. Ann Arbor: The University of Michigan Press.
Hu, N., Wang, X., Fukunaga, H., Yao, Z. H., Zhang, H. X., & Wu, Z. S. (2001). Damage assessment of structures using modal test data. International Journal of Solids and Structures, 38(18), 3111–3126. doi:10.1016/S0020-7683(00)00292-4
Kim, N. I., & Lee, J. (2013). Damage Identification of Trusses with Elastic Supports Using FEM and Genetic Algorithm. Advances in Mechanical Engineering, 2013.
Koo, K. Y., Jong Jae Lee, & Chung-Bang Yun. (2008). Damage Detection of Bridge Structures Using Modal Flexibility under Temperature Variation. World Congress, 17(1), 15762–15767.
Meruane, V., & Heylen, W. (2011). An hybrid real genetic algorithm to detect structural damage using modal properties. Mechanical Systems and Signal Processing, 25(5), 1559–1573. doi:10.1016/j.ymssp.2010.11.020
Mitchell, M. (1998). An introduction to genetic algorithms. MIT press.
Nobahari, M., & Seyedpoor, S. M. (2011). Structural damage detection using an efficient correlation-based index and a modified genetic algorithm. Mathematical and Computer Modelling, 53(9–10), 1798–1809. doi:10.1016/j.mcm.2010.12.058
Panigrahi, S. K., Chakraverty, S., & Mishra, B. K. (2009). Vibration based damage detection in a uniform strength beam using genetic algorithm. Meccanica, 44(6), 697-710. doi:10.1007/s11012-009-9207-1
Perera, R., Ruiz, A., & Manzano, C. (2009). Performance assessment of multicriteria damage identification genetic algorithms. Computers & Structures, 87(1–2), 120–127. doi:10.1016/j.compstruc.2008.07.003
Potter, M. A., & Jong, K. A. D. (1994). A cooperative coevolutionary approach to function optimization.
Potter, M. A., & De Jong, K. A. (1994). A cooperative coevolutionary approach to function optimization. In Parallel Problem Solving from Nature—PPSN III (pp. 249-257). Springer Berlin Heidelberg.
In Y. Davidor, H.-P. Schwefel, & R. Männer (Eds.), Parallel Problem Solving from Nature — PPSN III (pp. 249–257). Springer Berlin Heidelberg. Retrieved from http://link.springer.com/chapter/10.1007/3-540-58484-6_269
Rao, M. A., Srinivas, J., & Murthy, B. S. N. (2004). Damage detection in vibrating bodies using genetic algorithms. Computers & Structures, 82(11–12), 963–968. doi:10.1016/j.compstruc.2004.01.005
Rao, M. A., Srinivas, J., & Murthy, B. S. N. (2004). Damage detection in vibrating bodies using genetic algorithms. Computers & structures, 82(11), 963-968.
Whitley, D., & Starkweather, T. (1990). GENITOR II.: a distributed genetic algorithm. J. Exp. Theor. Artif. Intell., 2(3), 189–214. doi:10.1080/09528139008953723
Wolpert, D. H., & Macready, W. G. (1997). No free lunch theorems for optimization. IEEE Transactions on Evolutionary Computation, 1(1), 67–82. doi:10.1109/4235.585893
Yang, X.-S. (2010). Engineering Optimization: An Introduction with Metaheuristic Applications. John Wiley & Sons.