___

• [1] A. Karcı, “Saplings sowing and growing up algorithm convergence properties”,INISTA 2007 International Symposium on Innovations in Intelligent Systems and Applications, pp.322-326, 2007.
• [2] A. Karcı, A. Arslan, “Uniform Population in Genetic Algorithms”, Journal of Electrical and Electronics, Vol.2, pp.495-504, 2002.
• [3] S. Łukasik, S. Zak, “Firefly algorithm for continuous constrained optimization tasks”, In Computational Collective Intelligence. Semantic Web, Social Networks and MultiagentSystems, LNCS, Vol. 5796, pp. 97–106, 2009.
• [4] M. Canayaz, A. Karcı, “Cricket behaviour based evolutionary computation technique in solving engineering optimization problems”, Applied Intelligence, Vol.44, pp.362-376., 2016.
• [5] R.Storn, K.Price, “Heuristic for global optimization over continuous spaces”, Journal of Global Optimization, Vol.11, pp.341-359, 1995.
• [6] A.H. Kashan, “League Championship Algorithm (LCA): An algorithm for global optimization inspired by sport championships”, Applied Soft Computing, Vol.16, pp.171-200, 2014.
• [7] D.Karaboğa, B.Baştürk, “A powerful and efficient algorithm for numerical function ptimization: artificial bee colony (ABC) algorithm”, Journal of Global Optimization, Vol.39, pp.459-471, 2007.
• [8] R.Akbari, A.Mohammadi, K.Ziarati, “A powerful bee swarm optimization algorithm”, In 13th International Multitopic Conference (INMIC), pp.1-6, 2009.
• [9] S.C. Chu, O.W. Tsai, "Computational intelligence based on the behavior of cats", International Journal of Innovative Computing, Information and Control, Vol.3, pp.163-173, 2007.
• [10] P. Civicioğlu, " Transforming geocentric cartesian coordinates to geodetic coordinates by using differential search algorithm", Computers and Geosciences, Vol.46, pp.229-247, 2012.
• [11] J.Y. Liu, M.Z.Guo, C.Deng, “G. Hagler, “Geese PSO: An efficient improvement to particle swarm optimization”, Computer Science, Vol.33, pp.166-168, 2006.