[1] F. Glover and G. A. Kochenberger, “Handbook of Metaheuristics,” Kluwer Academic Publishers, Dordrecht, 2003.
[2] E. G. Talbi, “Metaheuristics Forn Design to Implementation,” John Wiley & Sons, Hoboken, 2009. doi:10.1002/9780470496916
[3] X. S. Yang, “Nature-Inspired Metaheuristic Algorithms,” Luniver Press, 2010.
[4] D. E. Goldberg, “Genetic Algorithms in Search Optimization and Machine Learning,” Addison Wesley Publishers, Boston, 1989.
[5] MathWorks, “Genetic Algorithm and Direct Search Toolbox: For Use with MATLAB,” User’s Guide, Version 1, MathWorks, Natick, Mass, 2005.
[6] M. Dorigo and T. Stützle, “Ant Colony Optimization,” MIT Press, Cambridge, 2004. doi:10.1007/b99492
[7] J. Kennedy and R. Eberhart, “Particle Swarm Optimization,” IEEE Proceedings of the International Conference on Neural Networks, Vol. 4, 1995, pp. 1942-1948. doi:10.1109/ICNN.1995.488968
[8] Z. W. Geem, “Recent Advance in Harmony Search Algorithm,” Studies in Computational Intelligence, Springer, Berlin, 2010. doi:10.1007/978-3-642-04317-8
[9] X. S. Yang, “Firefly Algorithms for Multimodal Optimization, Stochastic Algorithms,” Foundations and Applications SAGA 2009, Lecture Notes in Computer Sciences, Vol. 5792, 2009, pp. 169-178. doi:10.1007/978-3-642-04944-6_14
[10] R. Oftadeh, M. J. Mahjoob and M. Shariatpanahi, “A Novel Mata-Heuristic Optimization Algorithm Inspired by Group Hunting of Animals: Hunting Search,” Computers and Mathematics with Applications, Vol. 60, No. 7, 2010, pp. 2087-2098. doi:10.1016/j.camwa.2010.07.049
[11] X. S. Yang and S. Deb, “Cuckoo Search via Lévy Flights,” In: Proceedings of the World Congress on Nature and Biologically Inspired Computing, IEEE Publications, 2009, pp. 210-214.
[12] X. S. Yang and S. Deb, “Engineering Optimization by Cuckoo Search,” International Journal of Mathematical Modeling and Numerical Optimization, Vol. 1, No. 4, 2010, pp. 330-343. doi:10.1504/IJMMNO.2010.035430
[13] X. S. Yang, “A New Metaheuristic Bat-Inspired Algorithm,” In: J. R. Gonzalez, et al., Eds., Nature Inspired Cooperative Strategies for Optimization (NISCO 2010), Springer, Berlin, 2010, pp. 65-74.
[14] S. Kirkpatrick, C. D. Gelatt and M. P. Vecchi, “Optimization by Simulated Annealing,” Science, Vol. 220, No. 4598, 1983, pp. 671-680. doi:10.1126/science.220.4598.671
[15] P. J. M. van Laarhoven and E. H. L. Aarts, “Simulated Annealing: Theory and Applications,” Kluwer Academic Publishers, Dordrecht, 1987. doi:10.1007/978-94-015-7744-1
[16] F. Glover, “Tabu Search—Part I,” ORSA Journal on Computing, Vol. 1, No. 3, 1989, pp. 190-206.
[17] F. Glover, “Tabu Search—Part II,” ORSA Journal on Computing, Vol. 2, No. 1, 1990, pp. 4-32. doi:10.1287/ijoc.2.1.4
[18] S. Sujitjorn, T. Kulworawanichpong, D. Puangdownreong and K.-N. Areerak, “Adaptive Tabu Search and Applications in Engineering Design,” Frontiers in Artificial Intelligent and Applications, IOS Press, Amsterdam, 2006.
[19] D. Puangdownreong, T. Kulworawanichpong and S. Sujitjorn, “Finite Convergence and Performance Evaluation of Adaptive Tabu Search,” In: Lecture Notes in Artificial Intelligence, Springer-Verlag, Heidelberg, 2004, pp. 710-717.
[20] A. Sukulin and D. Puangdownreong, “A Novel MetaHeuristic Optimization Algorithm: Current Search,” Proceedings of the 11th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases (AIKED ‘12), Cambridge, 2012, pp. 125-130.
[21] D. Puangdownreong and A. Sukulin, “Obtaining an Optimum PID Controllers for Unstable Systems using Current Search,” International Journal of Systems Engineering, Applications & Development, Vol. 2, No. 6, 2012, pp. 188-195.
[22] D. Puangdownreong, “Application of Current Search to Optimum PIDA Controller Design,” Intelligent Control and Automation, Vol. 3, No. 4, 2012, pp. 303-312.
[23] M. M. Ali, C. Khompatraporn and Z. B. Zabinsky, “A Numerical Evaluation of Several Stochastic Algorithms on Selected Continuous Global Optimization Test Problems,” Journal of Global Optimization, Vol. 31, No. 4, 2005, pp. 635-672. doi:10.1007/s10898-004-9972-2
[24] K. Ogata, “Modern Control Engineering,” Prentice Hall, New Jersey, 2010.
[25] MathWorks, “System Identification Toolbox,” User’s Guide, Version 7.2, 2008