[1] Al-shihabi S. (2004), Ants for sampling in nested partition algorithm; Proceeding of 16th European
Conference on Artificial Intelligence, Valencia, Spain; 11-18.
[2] Al-shihabi S., Ólafsson S. (2004), A hybrid of Nested Partition, Binary Ant System, and linear
programming for the multidimensional knapsack problem; Computer & Operation Research 37(2);
247-255.
[3] Barton R.R., Meckesheimer M. (2006), Metamodel-based simulation optimization; Handbooks in
Operations Research and Management Science13, Elsevier/North Holland.
[4] Chen W., Pi L., Shi L. (2009), Optimization and logistics challenges in the enterprise; Springer
Optimization and its Application 30(2); 229-251.
[5] Eberhart R.C., Kennedy J. (1995), A new optimizer using particle swarm theory; Proceeding of 6th
International Symposium on Micro Machine and Human Science, Nagoya, Japan; 39-43.
[6] Fu M.C., Glover F.W., April J. (2005), Simulation optimization: a review, new developments, and
applications; Proceedings of the 2005 Winter Simulation Conference, New Jersey, USA; 83-95.
[7] Henderson S.G., Nelson B.L. (2006), Handbooks in Operations Research and Management Science13,
Elsevier/North Holland.
[8] Hurrion RD. (1997), An example of simulation optimization using a neural network metamodel:
finding the optimum number of kanbans in a manufacturing system; Journal of the Operational
Research Society 48(11); 1105-1112.
[10] Kabirian A. (2006), A review of current methodologies and developing a new heuristic method of
simulation optimization; M.Sc. Dissertation, Sharif University of Technology, Tehran, Iran.
[11] Kelton W.D., Sadowski R.P., Sturrock D.T. (2007), Simulation with Arena, 4th Ed.; McGraw-Hill.
[12] Kennedy J., Eberhart, R.C. (1995), Particle swarm optimization; Proceeding of the IEEE International
Conference on Neural Network4; 1942-1948.
[13] Kleijnen J.P.C., van Beers W., van Nieuwenhuyse I. (2010), Constrained optimization in expensive
simulation: Novel approach; European Journal Of Operation Research 202(1); 164-174.
[14] Kleijnen J.P.C. (2008), Design and Analysis of Simulation Experiments; New York: Springer Science,
Business Media.
[15] Kleijnen J.P.C. (2008), Response surface methodology for constrained simulation optimization: An
overview; Simulation Modeling Practice and Theory 16(1); 50-64.
[16] Liu H., Maghsoodloo S. (2011), Simulation optimization based on Taylor Kriging and evolutionary
algorithm; Applied soft Computing 11(4); 3451-3462.
[17] Liu M., Nelson B.L., Staum J. (2010), Simulation on demand for pricing many securities; Proceedings
of the 2010 Winter Simulation Conference; 2782-2789.
[18] Shi Y., Eberhart RC. (1998), Modified particle swarm optimizer. THE 1998 IEEE International
Conference on Evolutionary Computation, (ICEC’98); 69-73.
[19] Shi L., Ólafsson S. (1998), Nested partitions method for global optimization; Operation Research
48(3); 390-407.
[20] Shi L., Ólafsson S., and Sun N. (1999), New parallel randomized algorithms for the traveling salesman
problem; Computer and Operation Research 26(4); 371-394.
[21] Shi L., Ólafsson S., and Chenn Q. (1999), A new hybrid optimization algorithm; Computer &
Industrial Engineering 36(2); 409-426.
[22] Shi L., Ólafsson S. (2000), Nested partitions method for stochastic optimization; Methodology and
Computing in Applied Probability 2(3); 271-291.
[23] Shi L., Ólafsson S. (2008), Nested partitions method, theory and applications; International Series In
Operations Research & Management Science, Springer.
[24] Tang Z. B.(1994), Adaptive partitioned random search to global optimization; IEEE Transactions on
Automatic Control 39(1); 2235-2244.
[25] Tekin E., Sabuncuoglu I. (2004), Simulation optimization: a comprehensive review on theory and
applications; IIE Transactions 36(11); 1067–1081.