[1] Rebaudengo, M. and Reorda, M.S., An experimental analysis of effects of migration in parallel genetic algorithms, EWPDP93: IEEE/Euromicro Workshop on Parallel and Distributed Processing, Gran Canaria (E), Gennaio, 232-238 (1992).

[2] Alba E. and Troya, J.M., Analyzing synchronous and asynchronous parallel distributed genetic algorithms, Future Generation Computer Systems 17, 451-465 (2001).

[3] Cantú-Paz, E., Markov chain models of parallel genetic algorithms, IEEE Transactions of Evolutionary Computation, 4(3), 216-226 (2000).

[4] Cantú-Paz, E., Migration policies, selection pressure, and parallel evolutionary algorithms, In Brave, S., Wu, A. (Eds.) Late Breaking Papers at the Genetic and Evolutionary Computation Conference. Orlando, FL (1999).

[5] Cantú-Paz, E., Topologies, migration rates, and multi-population parallel genetic algorithms, GECCO-99:Proceedings of the Genetic and Evolutionary Computation Conference, San Francisco, CA: Morgan Kaufmann, 91-98 (1999).

[6] Nowostawski, M. and Poli, R., Parallel genetic algorithm taxonomy, Proceedings of Third International Conference on Knowledge-based Intelligent Information Engineering Systems KES'99 (1999).

[7] Surry, P.D. and Radcliffe, N.J., RPL2: A language and parallel framework for evolutionary computing, Springer-Verlag LNCS 866, 628-637 (1994).

[8] Alba, E. and Troya, J.M., A survey of parallel distributed genetic algorithms, Complexity 4, 31-52 (1999).

[9] Maeda, Y., Ishita, M.and Li, O., Fuzzy adaptive search method for parallel genetic algorithm with island combination process, International Journal of Approximate Reasoning 41, 59-73 (2006).

[10] Hiroyasu, T., Miki, M. and Negami, M., Distributed genetic algorithms with randomized migration rate, IEEE Proc. of Systems, Man and Cybernetics Conference (SMC’99), 1, 689-694 (1999).

[11] Berntsson, J. and Tang, M., A convergence model for asynchronous parallel genetic algorithms, The 2003 Congress on Evolutionary Computation, CEC'03, 4, 2627- 2634 (2003).

[12] Kuvat, G., Adar, N., Canbek, S., Seke, E., Fast converging migration method in Parallel Genetic Algorithms, UMES 2007–National Young Researchers Symposium on Technical Training, Engineering and Education Sciences (in Turkish), 71-74, Kocaeli, Turkey, June (2007).

[13] Kuvat, G., Adar, N., Seke, E., Canbek, S., New migration schemes for parallel genetic algorithms on cluster systems, INISTA 2007- International Symposium on Innovations in Intelligent Systems and Applications, 268-272, Istanbul, Turkey (2007).

[14] Kuvat, G., Adar, N., Canbek, S., Seke, E., Analysis the fast converging migration method for various test functions, 12th National Congress and Exhibition on Electrical, Electronics, Computer, Biomedical Engineering (in Turkish), 313-316, Eskişehir, Turkey (2007).

[15] Kuvat, G., Adar, N., Canbek, S., Seke, E., Migration methods, migration rate and parallel genetic algorithms, ASYU 2008 - International Symposium on Innovations in Intelligent Systems and Applications (in Turkish), 138- 142, Isparta, Turkey (2008).

[16] Kuvat, G., Migration Methods and Dynamic Determination of Migration Parameters in Parallel Genetic Algorithms, Doctoral Dissertation (in Turkish), Department of Electrical and Electronics Engineering, Eskişehir Osmangazi University (2009).

[17] Lazano, M., Herrera F. and Cano, J.R., Replacement strategies to preserve useful diversity in steady-state genetic algorithms, Information Sciences 178, 4421-4433 (2008).

[18] Denzinger, J. and Kidney, J., Improving migration by diversity, The 2003 Congress on Evolutionary Computation, CEC'03, 1, 700- 707 (2003).

[19] Li, Q. and Maeda, Y., Distributed adaptive search method for genetic algorithm controlled by fuzzy reasoning, IEEE International Conference on Fuzzy Systems, 2022-2027 (2008).

[20] Adar, N. and Kuvat, G., Diversity and permeability in parallel genetic algorithms, Journal of the Institute of Science and Technology of Dumlupınar University (in Turkish), Num: 27, 55-66, April (2012)

[21] Goldberg, D.E., Genetic algorithms in search, optimization & machine learning, Addison Wesley Publishing Company, USA (1989).

[22] Alba, E., Luna, F., Nebro A.J. and Troya, J.M., Parallel heterogeneous genetic algorithms for continuous optimization, Parallel Computing 30, 699-719 (2004).

[23] Oh, S., Kim, C.T. and Lee, J., Balancing the selection pressures and migration schemes in parallel genetic algorithms for planning multiple paths, Proceedings of the 2001 IEEE International Conference on Robotics & Automation, Seoul, Korea, May 21-26, 3314- 3319 (2001).

[24] Cantú-Paz., E., On the effects of migration on the fitness distribution of parallel evolutionary algorithms, In Workshop on Evolutionary Computation and Parallel Processing at GECCO-2000, 3-6 (2000).