|
[1] M. R. Garey, D. S. Johnson, and R. Sethi, “The complexity of flowshop and jobshop scheduling,” Mathematics of operations research, vol. 1, no. 2, pp. 117–129, 1976. [2] F. Della Croce, R. Tadei, and G. Volta, “A genetic algorithm for the job shop problem,” Computers & Operations Research, vol. 22, no. 1, pp. 15–24, 1995. [3] S. Meeran and M. Morshed, “A hybrid genetic tabu search algorithm for solving job shop scheduling problems: a case study,” Journal of intelligent manufacturing, vol. 23, no. 4, pp. 1063–1078, 2012. [4] L. Sun, X. Cheng, and Y. Liang, “Solving job shop scheduling problem using genetic algorithm with penalty function,” International Journal of Intelligent information processing, vol. 1, no. 2, pp. 65–77, 2010. [5] B. Giffler and G. L. Thompson, “Algorithms for solving production-scheduling problems,” Operations research, vol. 8, no. 4, pp. 487–503, 1960. [6] Hadoop Wiki, “Apache hadoop,” 2016, Accessed on Fabruary 15, 2016. [Online]. Available: https://en.wikipedia.org/wiki/Apache Hadoop [7] M. Armbrust, A. Fox, R. Griffith, A. D. Joseph, R. Katz, A. Konwinski, G. Lee, D. Patterson, A. Rabkin, I. Stoica, and M. Zaharia, “A view of cloud computing,” Communications of the ACM, vol. 53, no. 4, pp. 50–58, 2010. [8] P. M. Mell and T. Grance, “Sp 800-145. the nist definition of cloud computing,” Gaithersburg, MD, United States, Tech. Rep., 2011. [9] K. Shvachko, H. Kuang, S. Radia, and R. Chansler, “The hadoop distributed file system,” in Proceedings of the IEEE Symposium on Mass Storage Systems and Technologies, 2010, pp. 1–10. [10] Spark Wiki, “Apache spark,” 2016. [Online]. Available: https://en.wikipedia.org/wiki/ Apache Spark [11] Apache ignite, “Apache ignite,” 2016. [Online]. Available: https://ignite.apache.org/ features/igfs.html [12] C. W. Tsai, H. C. Chang, and M. C. Chiang, “Parallel coral reef algorithm for solving jsp on spark,” in Proceedings of the International Conference on Systems, Man, and Cybernetics, 2016, pp. 1872–1877. [13] S. Salcedo-Sanz, J. Del Ser, I. Landa-Torres, S. Gil-L´opez, and J. Portilla-Figueras, “The coral reefs optimization algorithm: a novel metaheuristic for efficiently solving optimization problems,” The Scientific World Journal, vol. 2014, pp. 1–15, 2014. [14] S. Lohr, “The age of big data,” 2012, Accessed on Fabruary 15, 2016. [Online]. Available: http://www.nytimes.com/2012/02/12/sunday-review/ big-datas-impact-in-the-world.html? r=0 [15] J. Dean and S. Ghemawat, “Mapreduce: simplified data processing on large clusters,” Communications of the ACM, vol. 51, no. 1, pp. 107–113, 2008. [16] C.W. Tsai, C. H. Hsieh, and M. C. Chiang, “Parallel black hole clustering based on mapreduce,” in Proceedings of the International Conference on Systems, Man, and Cybernetics, 2015, pp. 2543–2548. [17] D.-W. Huang and J. Lin, “Scaling populations of a genetic algorithm for job shop scheduling problems using mapreduce,” in Proceedings of the IEEE Second International Conference on Cloud Computing Technology and Science, 2010, pp. 780–785. [18] J. Wang, D. Yuan, and M. Jiang, “Parallel k-pso based on mapreduce,” in Proceedings of the IEEE 14th International Conference on Communication Technology, 2012, pp. 1203– 1208. [19] A. W. McNabb, C. K. Monson, and K. D. Seppi, “Parallel pso using mapreduce,” in Proceedings of the IEEE Congress on Evolutionary Computation, 2007, pp. 7–14. [20] The Apache Software Foundation, “What is apache hadoop?” 2016, Accessed on Fabruary 15, 2016. [Online]. Available: http://hadoop.apache.org/ [21] S. Ghemawat, H. Gobioff, and S.-T. Leung, “The google file system,” in Proceedings of the ACM SIGOPS operating systems review, vol. 37, no. 5, 2003, pp. 29–43. [22] S. Pandey and V. Tokekar, “Prominence of mapreduce in big data processing,” in Proceedings of the International Conference on Communication Systems and Network Technologies, 2014, pp. 555–560. [23] Apache Spark, “Apache spark,” 2016. [Online]. Available: http://spark.apache.org/ [24] V. K. Vavilapalli, A. C. Murthy, C. Douglas, S. Agarwal, M. Konar, R. Evans, T. Graves, J. Lowe, H. Shah, S. Seth et al., “Apache hadoop yarn: Yet another resource negotiator,” in Proceedings of the 4th annual Symposium on Cloud Computing, 2013, p. 5. [25] E. G. Coffman, Computer and job-shop scheduling theory. Wiley, 1976. [26] D. Applegate and W. J. Cook, “A computational study of the job-shop scheduling problem.” Informs Journal on Computing, vol. 3, no. 2, pp. 149–156, 1991. [27] J. H. Holland, Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control, and artificial intelligence. U Michigan Press, 1975. [28] C. Darwin, “On the origins of species by means of natural selection,” London: Murray, vol. 247, 1859. [29] S. K. Hasan, R. Sarker, and D. Cornforth, “Hybrid genetic algorithm for solving job-shop scheduling problem,” in Proceedings of the 6th IEEE/ACIS International Conference on Computer and Information Science, 2007, pp. 519–524. [30] F. Glover, “Tabu search-part i,” ORSA Journal on computing, vol. 1, no. 3, pp. 190–206, 1989. [31] F. Werner, “Genetic algorithms for shop scheduling problems: a survey,” Preprint, vol. 31, no. 11, 2011. [32] R. Cheng, “A study on genetic algorithm-based optimal scheduling techniques,” Journal of Japan Society for Fuzzy Theory and Systems, vol. 10, no. 3, p. 485, 1998. [33] J. F. Muth and G. L. Thompson, Industrial scheduling. Prentice-Hall, 1963. [34] S. Lawrence, “Resource constrained project scheduling: an experimental investigation of heuristic scheduling techniques (supplement),” Graduate School of Industrial Administration, 1984. [35] R. H. Storer, S. D.Wu, and R. Vaccari, “New search spaces for sequencing problems with application to job shop scheduling,” Management science, vol. 38, no. 10, pp. 1495–1509, 1992. [36] J. E. Beasley, “Or-library: distributing test problems by electronic mail,” Journal of the operational research society, vol. 41, no. 11, pp. 1069–1072, 1990. [37] B. J. Park, H. R. Choi, and H. S. Kim, “A hybrid genetic algorithm for the job shop scheduling problems,” Computers & industrial engineering, vol. 45, no. 4, pp. 597–613, 2003. [38] I. G. Medeiros, J. C. Xavier, and A. M. Canuto, “Applying the coral reefs optimization algorithm to clustering problems,” in Proceedings of the International Joint Conference on Neural Networks, 2015, pp. 1–8.
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