[1] Cui Z, Gao X. Theory and applications of swarm intelligence. Neural Comput Appl 2012;21:205–6. doi:10.1007/s00521-011-0523-8.
[2] Dorigo M, Blum C. Ant colony optimization theory: A survey. Theor Comput Sci 2005;344:243–78. doi:10.1016/j.tcs.2005.05.020.
[3] Antoniou P, Pitsillides A, Blackwell T, Engelbrecht A. Employing the flocking behavior of birds for controlling congestion in autonomous decentralized networks. 2009 IEEE Congr Evol Comput, IEEE; 2009, p. 1753–61. doi:10.1109/CEC.2009.4983153.
[4] Antoniou P, Pitsillides A, Blackwell T, Engelbrecht A, Michael L. Congestion control in wireless sensor networks based on bird flocking behavior. Comput Networks 2013;57:1167–91. doi:10.1016/j.comnet.2012.12.008.
[5] Karaboga D, Basturk B. On the performance of artificial bee colony (ABC) algorithm. Appl Soft Comput 2008;8:687–97. doi:10.1016/j.asoc.2007.05.007.
[6] Karaboga D, Basturk B. A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm. J Glob Optim 2007;39:459–71. doi:10.1007/s10898-007-9149-x.
[7] Li XL, Qian JX. Studies on artificial fish swarm optimization algorithm based on decomposition and coordination techniques. J Circuits Syst 2003;1:1–6.
[8] Neshat M. FAIPSO: fuzzy adaptive informed particle swarm optimization. Neural Comput Appl 2013;23:95–116. doi:10.1007/s00521-012-1256-z.
[9] Chen D, Zhao C, Zhang H. An improved cooperative particle swarm optimization and its application. Neural Comput Appl 2011;20:171–82. doi:10.1007/s00521-010-0503-4.
[10] Kennedy J, Eberhart R. Particle swarm optimization. Proc IEEE Int Conf Neural Netw IV, 1942–1948, vol. 4, IEEE; 1995, p. 1942–8. doi:10.1109/ICNN.1995.488968.
[11] Eberhart R, Kennedy J. A new optimizer using particle swarm theory. MHS’95 Proc Sixth Int Symp Micro Mach Hum Sci, IEEE; n.d., p. 39–43. doi:10.1109/MHS.1995.494215.
[12] Hajihassani M, Jahed Armaghani D, Kalatehjari R. Applications of Particle Swarm Optimization in Geotechnical Engineering: A Comprehensive Review. Geotech Geol Eng 2018;36:705–22. doi:10.1007/s10706-017-0356-z.
[13] Zhu H, Wang Y, Wang K, Chen Y. Particle Swarm Optimization (PSO) for the constrained portfolio optimization problem. Expert Syst Appl 2011;38:10161–9.
[14] Shi Y, Eberhart R. A modified particle swarm optimizer. 1998 IEEE Int Conf Evol Comput proceedings IEEE world Congr Comput Intell (Cat No 98TH8360), IEEE; 1998, p. 69–73.
[15] Poitras G, Lefrançois G, Cormier G. Optimization of steel floor systems using particle swarm optimization. J Constr Steel Res 2011;67:1225–31.
[16] Kalatehjari R. An improvised three-dimensional slope stability analysis based on limit equilibrium method by using particle swarm optimization 2013.
[17] Rajeev S, Krishnamoorthy CS. Discrete optimization of structures using genetic algorithms. J Struct Eng 1992;118:1233–50.
[18] Ghasemi SH, Nowak AS. Reliability index for non-normal distributions of limit state functions. Struct Eng Mech 2017;62:365–72. doi:10.12989/sem.2017.62.3.365.
[19] Ghasemi SH, Nowak AS. Target reliability for bridges with consideration of ultimate limit state. Eng Struct 2017;152:226–37. doi:10.1016/j.engstruct.2017.09.012.
[20] Reliability analysis of circular tunnel with consideration of the strength limit state n.d. doi:https://doi.org/10.12989/gae.2018.15.3.879.
[21] Ghasemi SH, Lee JY. Reliability-based indicator for post-earthquake traffic flow capacity of a highway bridge. Struct Saf 2021;89:102039. doi:10.1016/j.strusafe.2020.102039.