Back, T., 1996. Evolutionary Algorithms in Theory and Practice, Oxford University Press: New York, NY.
Branke, J., 1999. Memory-enhanced evolutionary algorithms for dynamic optimization problems. Proceedings of the Congress on Evolutionary Computation, IEEE Press, Piscataway, 1875-1882.
Louis, S.J., McDonnell, J., 2004. Learning with case-injected genetic algorithms. IEEE Transactions on Evolutionary Computation 8(4).
Chung, C.J., Reynolds, R.G., 1996. A test-bed for solving optimization problems using cultural algorithm, in: Proceedings of the Fifth Annual Conference on Evolutionary Programming, MIT Press, Cambridge, 225-236.
Deb, K., Pratap, A., Agarwal, S., Meyarivan, T., 2002. A fast and elitist multi-objective genetic algorithm: NSGA-II. IEEE Trans Evolutionary Comput. 6, 182–197.
Gao, J., Sun, L., Gen, M., 2008. A hybrid genetic and variable neighborhood descent algorithm for flexible job shop scheduling problems. Computers and Operations Research 35(9), 2892-2907.
Ho, N.B., Tay, J.C., Lai, E.M.K., 2007. An effective architecture for learning and evolving flexible job-shop schedules. European Journal of Operational Research 179(2), 316-333.
Kesen, S.E., Toksari, M.D., Gungor, Z., Guner, E., 2009. Analyzing the behaviors of virtual cells (VCs) and traditional manufacturing systems: Ant colony optimization (ACO)- based metamodels. Computers & Operations Research 36(7), 2275-2285.
Kesen, S.E., Das, S.K., Gungor, Z., 2010. A genetic algorithm based heuristic for scheduling of virtual manufacturing cells (VMCs). Computers and Operations Research 37, 1148-1156.
McLean, C.R., Bloom, H.M., Hopp T.H., 1982. The virtual manufacturing cell. In: Proceedings of the fourth IFAC/IFIP conference on information control problems in manufacturing technology, Gaithersburg, MD, 1–9.
Michalski, R.S., 2000. Learnable evolution model: evolution process guided by machine learning. Machine Learning 38(1), 9-40.
Nomden, G., Slomp, J., Suresh, N.C., 2006. Virtual manufacturing cells: A taxonomy of past research and identification of future research issues. International Journal of Flexible Manufacturing System 17, 71-92.
Montreuil, B., Venkatadri, U., Lefrancois, P., 1991. Holographic layout of manufacturing systems. 19th HE Systems Integration Conference, 1-13.
Ruiz, R., Allahverdi, A., 2007. Some effective heuristics for no-wait flow-shops with setup times to minimize total completion time. Annals of Operations Research 156, 143-171.
Srinivas, N., & Deb, K., 1994. Multi-objective function optimization using nondominated sorting genetic algorithms. Evolutionary Computation Journal 2(3),221-248.
Gen, M., Tsujimura, Y., Kubota E., 1994. Solving job-shop scheduling problem using genetic algorithms. In: Proceedings of the 16th international conference on computer and industrial engineering, Ashikaga, Japan, 576–9.
Slomp, J., Chowdary, B.V., Suresh, N.C., 2005. Design of virtual manufacturing cells: a mathematical programming approach, Robotics and Computer-Integrated Manufacturing 21, 273–288.
Xing, L.N., Chen, Y.W., Wang, P., Zhao, Q.S., Xiong, J., 2010. A knowledge-based ant colony optimization for flexible job shop scheduling problems. Applied Soft Computing 10, 888-896.