Kaniappan Vivekanandan and Duraisamy Ramyachitra
[1] J. Joseph and C. Fellenstein, Grid computing (India: PearsonEducation, 2004). [2] 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. [3] M.R. Garey and D.S. Johnson, Computers and intractability:A guide to the theory of NP-completeness (CA: Freeman, 1979). [4] Y. Gao, H.Q. Rong, and J.Z. Huang, Adaptive grid job schedul-ing with genetic algorithms, Future Generation ComputerSystems, 21, 2005, 151–161. [5] 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. [6] T.V. Anthony, J.V. Toby, and E. Robert, Cloud computing (New Delhi: Tata McGrawHill, 2010). [7] 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. [8] 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. [9] 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. [10] 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. [11] 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. [12] 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. [13] 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. [14] 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. [15] 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. [16] K. Vivekanandan, D. Ramyachitra, and B. Anbu, Artificial beecolony algorithm for grid scheduling, Journal of ConvergenceInformation Technology, 6(7), 2011, 328–339. [17] 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. [18] 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. [19] 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. [20] 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. [21] 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. [22] 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. [23] 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. [24] 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
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