Kaniappan Vivekanandan and Duraisamy Ramyachitra
 J. Joseph and C. Fellenstein, Grid computing (India: PearsonEducation, 2004).
 A. Abraham, H. Liu, C. Grosan, and F. Xhafa, Nature InspiredMetaheuristics for Grid Scheduling: Single and MultiobjectiveOptimization Approaches, Metaheuristics for Scheduling: Dis-tributed Computing Environments, Studies in ComputationalIntelligence, Springer Verlag, Germany, 2008, 247–272.
 M.R. Garey and D.S. Johnson, Computers and intractability:A guide to the theory of NP-completeness (CA: Freeman, 1979).
 Y. Gao, H.Q. Rong, and J.Z. Huang, Adaptive grid job schedul-ing with genetic algorithms, Future Generation ComputerSystems, 21, 2005, 151–161.
 P.I. Renato, F. de M. Rodrigo, and T.Y. Laurence, A complex network based approach for job scheduling in grid environments,HPCC 2007, LNCS 4782 (Heidelberg: Springer Verlag Berlin,2007), 204–215.
 T.V. Anthony, J.V. Toby, and E. Robert, Cloud computing (New Delhi: Tata McGrawHill, 2010).
 A. Andrieux, D. Berry, J. Garibaldi, S. Jarvis, J. macLaren, D.Ouelhadj, et al., Open issues in grid scheduling, UK e-Science Technical Report Series, Report of the workshop held at thee-Science Institute, 2003.
 N.D. Doulamis, A.D. Doulamis, E.A. Varvarigos, and T.A.Varvarigou, Fair scheduling algorithms in grids, IEEE Trans. on Parallel and Distributed Systems, 18(11), 2007.
 T.D. Braun, H.J. Siegel, N. Beck, L.L. Boloni, M. Maheswaran, A.I. Reuther, et al., A comparison of eleven heuristics for mapping a class of independent tasks onto heteroge-neous distributed computing systems, Journal of Parallel andDistributed Computing, 61(6), 2001, 810–837.
 L. Wang, H.J. Siegel, V.P. Roychowdhury, and A.A. Maciejew-ski, Task matching and scheduling in heterogeneous comput-ing environments using a genetic-algorithm-based approach,Journal of Parallel and Distributed Computing, 47, 1997, 8–22.
 D. Ramyachitra and K. Vivekanandan, A hybrid genetic al-gorithm for scheduling in grid environment, 3rd Int. Conf. onComputer Modeling and Simulation, ICCMS 2011, Mumbai,Published by IEEE, 1, 2011, VI-432–VI-436.
 J.-K. Kim et al., Dynamically mapping tasks with priorities andmultiple deadlines in a heterogeneous environment, Journal ofParallel and Distributed Computing, 67, 2007, 154–169.
 Y. Tian, N. Sannomiya, and Y. Xu, A tabu search witha new neighborhood search technique applied to ﬂow shopscheduling problems, Proceedings of the 39th IEEE Conferenceon Decision and Control, 5, 2000, 4606–4611.
 A. Abraham, H. Liu, W. Zhang, and T.G. Chang, Schedul-ing jobs on computational grids using fuzzy particle swarmalgorithm, International Conf. on Knowledge-Based and Intel-ligent Information and Engineering Systems, England, 2006,500–507.
 L.-P. Wong, C.S. Chong, C.Y. Puan, and M.Y.H. Low, Beecolony optimization algorithm with big valley landscape ex-ploitation for job shop scheduling problems, Proc. of the 2008Winter Simulation Conference, Florida, USA, 2008.
 K. Vivekanandan, D. Ramyachitra, and B. Anbu, Artiﬁcial beecolony algorithm for grid scheduling, Journal of ConvergenceInformation Technology, 6(7), 2011, 328–339.
 D.T. Pham, E. Koc, J.Y. Lee, and J. Phrueksanant, Using thebees algorithm to schedule jobs for a machine, ManufacturingEngineering Centre, Cardiﬀ University, CF243AA, UK.
 D.H. Kim and J.H. Cho, Robust tuning of PID controller usingbacterial foraging based optimization, Journal of AdvancedComputational Intelligence and Intelligent Informatics, 9(6),2005.
 H. Chen, Y. Zhu, and K. Hu, Cooperative bacterial forag-ing optimization, Hindawi Publishing Corporation, DiscreteDynamics in Nature and Society, Volume 2009, Article ID815247, 17, doi:10.1155/2009/815247.
 M. SenthilKumar and P. Renuga, Bacterial foraging algo-rithm based enhancement of voltage proﬁle and minimizationof losses using thyristor controlled series capacitor (TCSC),International Journal of Computer Applications, 7(2), 2010,21–27.
 D.P. Acharya, G. Panda, S. Mishra, and Y.V.S. Lakshmi,Bacteria foraging based independent component analysis,International Conference on Computational Intelligence andMultimedia Applications 2007, 2, 2007, 527–531.
 J. Dang, A. Brabazon, M. O’Neill, and D. Edelman, Op-tion model calibration using a bacterial foraging optimizationalgorithm, EvoWorkshops 2008, LNCS 4974, 2008, 113–122.
 D.H. Kim and J.H. Cho, Robust tuning of PID controller usingbacterial foraging based optimization, Journal of AdvancedComputational Intelligence and Intelligent Informatics, 9(6),2005, 669–676.
 K. Vivekanandan and D. Ramyachitra, Bacteria foraging op-timization for protein sequence analysis on the grid, FutureGeneration Computer Systems, 28(4), 2012, 647–656.6