[1] Y. Gao, H. Guan, Z. Qi, Y. Hou, and L. Lio, “A multi-objective ant colony system algorithm for virtual machine placement in cloud computing,” Journal of Computer and System Sciences, vol. 79, no. 8, pp. 1230-1242, 2013.
[2] S. Chaisiri, B. Lee, and D. Niyato, “Optimal virtual machine placement across multiple cloud providers,” Proceedings of the IEEE Asia-Pacific Services Computing Conference, pp. 103-110, 2009.
[3] S. Agrawal, S. Bose, and S. Sundarrajan, “Grouping genetic algorithm for solving the server consolidation problem with conflicts,” Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, pp. 1-8, 2009.
[4] S. Srikantaiah, A. Kansal, and F. Zhao, “Energy aware consolidation for cloud computing,” Proceedings of Hot Power’08 Workshop on Power Aware Computing and Systems, 2008.
[5] E. Atashpaz-Gargari, and C. Lucas, “Imperialist competitive algorithm: an algorithm for optimization inspired by imperialistic competition,” IEEE Congress on Evolutionary Computation, pp. 4661-4667, 2007.
[6] M. Morshed, and A. Asgharpour, “Hybrid imperialist competitive-sequential quadratic programming (HIC-SQP) algorithm for solving economic load dispatch with incorporating stochastic wind power: a comparative study on heuristic optimization techniques,” Journal of Energy Conversion and Management, v ol. 84, pp. 30-40, 2014.
[7] S. Shamshirband, A. Amini, N. Anuar, M. Kiah, T. Wah, and S. Furnell, “D-FICCA: a density-based fuzzy imperialist competitive clustering algorithm for intrusion detection in wireless sensor networks,” Proceeding of Journal of measurement, vol. 10, 2014.
[8] A. Nourmohammadi, M. Zandieh, and R. Tavakkoli Moghaddam, “An imperialist competitive algorithm for multi-objective U-type assembly line design,” Journal of Computational Science, vol. 4, no. 5, pp. 393-400, 2013.
[9] Y. Zhang, Y. Wang, and Peng, “Improved imperialist competitive algorithm for constrained optimization,” Proceedings of International Forum on Computer Science-technology and Applications, Chongqing, vol. 1, pp. 204-207, 2009.
[10] M. Goldansaz, F. Jolali, and A. Zahedi Anaraki, “A hybrid imperialist competitive algorithm for minimizing makespan in a multi-processor open shop,” Applied Mathematical Modelling, vol. 37, no. 23, pp. 9603-9616, 2013.
[11] E. Falkenauer, “A hybrid grouping genetic for bin packing algorithm,” Journal of Heuristics, vol. 2, pp. 5-30, 2004.
[12] R. Gupta, S.K. Bose, and S. Sundarrajan., “A two stage heuristic algorithm for solving the server consolidation problem with item-item and bin-item incompatibility constraints,” Proceedings of IEEE International Conference on Service Computing, vol. 2, pp. 39-46, 2008.
[13] M. Bichler, T. Setzer, and B. Speitkamp, “Capacity planning for virtualized servers,” Workshop on Information Technologies and Systems, pp. 1-6, 2006.
[14] B. Speitkamp, and M. Bichler, “A mathematical programming approach for server consolidation problems in virtualized data centers,” IEEE Trans. Services Comput., vol. 3, no. 4, pp. 266-278, 2010.
[15] H. Duan, and L. Huang, “Imperialist competitive algorithm optimized artificial neural networks for UCAV global path planning”, Neurocomputing, vol. 125, 11, pp. 166-171, 2014.
[16] A. Verma, P. Ahuja, and A. Neogi, “pMapper: power and migration cost aware application placement in virtualized systems,” Proceedings of the 9th ACM/IFIP/USENIX International Conference on Middleware, pp. 243-264, 2008.
[17] D.V. Veldhuizen, Multiobjective Evolutionary Algorithms: Classifications, Analyses, and New Innovations, PhD thesis, Grad. School of Eng. of the Air Force Institute of Technology, Air University, 1999.
[18] E. Feller, L. Rilling, and C. Morin, “Energy-aware ant colony based workload placement in clouds,” Proceedings of the IEEE/ACM International Conference on Grid Computing (GRID), pp. 26-33, 2011.
[19] B. Li, J. Li, J. Huai, T. Wo, Q. Li, and L. Zhong, “Enacloud: an energy-saving application live placement approach for cloud computing environments,” Proceedings of the IEEE International Conference on Cloud Computing, pp. 17-24, 2009.
[20] M. Dorigo, and L.M. Gambardella, “Ant colony system: a cooperative learning approach to the traveling salesman problem,” IEEE Transactions on Evolutionary Computation, vol. 1, pp. 53-66, 1997.
[21] J. Békési, G. Galambos, and H. Kellerer, “A 5/4 linear time bin packing algorithm,” J. Comput. System Sci., vol. 60, no. 1, pp. 145-160, 2000.
[22] X. Fan, W. Weber, and L. Barroso, “Power provisioning for warehouse-sized computer,” Proceedings of the 34th Annual International Symposium on Computer Architecture, pp. 13-23, 2007.
[23] M. Cardosa, M. Korupolu, and A. Singh, “Shares and utilities based power consolidation in virtualized server environments,” Proceedings of IFIP/IEEE Integrated Network Management (IM’09), pp. 327-334, 2009.
[24] B. Li, J. Li, J. Huai, T. Wo, Q. Li, and L. Zhong, “Enacloud: an energy-saving application live placement approach for cloud computing environments,” Proceedings of the IEEE International Conference on Cloud Computing, pp. 17-24, 2009.
[25] Y. Ajiro, and A. Tanaka, “Improving packing algorithms for server consolidation,” Proceedings of the International Conference for the Computer Measurement Group (CMG), Computer Measurement Group, 2007.
[26] M.J. Sannella, Constraint Satisfaction and Debugging for Interactive User Interfaces, Ph.D. thesis, University of Washington, Seattle, WA, 1994.
[27] B. Li, J. Li, J. Huai, T. Wo, Q. Li, and L. Zhong, “EnaCloud: an energy-saving application live placement approach for cloud computing environments,” Proceedings of the IEEE International Conference on Cloud Computing, pp. 17-24, 2009.
[28] R.N. Calheiros, R. Ranjan, A. Beloglazov, C.A.F.D. Rose, and R. Buyya, “CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms,” Software: Practice and Experience (SPE), vol. 41, no. 1, pp. 23-50, 2011.