| References | ||||||||||||||||||||
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| Alcoz, J. (2007). Amazing bees. Retrieved September 22, 2006, from http://www.polarization.com/bees/bees2.html Baptiste, P., Peridy, L., & Sourd, F. (2000). Job-shop scheduling. Retrieved March 2, 2007, from www-poleia.lip6.fr/~sourd/jobshop.pdf Bonabeau, E., Dorigo, M., & Theraulaz, G. (1999). Swarm intelligence: from natural to artificial systems: Oxford University Press. Bonabeau, E., & Meyer, C. (2001). Swarm intelligence: a whole new way to think about business. Harvard Business Review. Boyd, S., Ghosh, A., & Magnani, A. (2003). Branch and bound methods. Retrieved July 1, 2006, from www.stanford.edu/class/ee392o/bb.pdf Chavez, M. A. C., Solis, J. F., & Quintana, F. R. (2004). The problem of using the calculation of the critical path to solve instances of the job shop scheduling problem. Transactions on Engineering, Computing and Technology, 1, 294-297. Cheeseman, M. (2007). The application of naturally-inspired algorithms to the job-shop scheduling problem. Retrieved March 11, 2007, from www.cs.bham.ac.uk/~xin/courses/projects/globalScheduling.pdf Chong, C. S., Low, Y. H., Malcolm, Sivakumar, A. I., & Gay, K. L. (2006, December 3-6). A bee colony optimization algorithm to job shop scheduling. Paper presented at the 2006 Winter Simulation Conference, Monterey, CA USA. Cicirello, V. A., & Smith, S. F. (2001). Insect societies and manufacturing. Retrieved March 17, 2006, from www.agent.ai/doc/upload/200302/smit01.pdf Colorni, A., Dorigo, M., Maniezzo, V., & Trubian, M. (1994). Ant system for job-shop scheduling. JORBEL - Belgian J. Oper. Res., Statist Comp. Sci., 34(1), 39-53. Dominic, P. D. D., Kaliyamoorthy, S., & Kumar, M. S. (2004). Efficient dispatching rules for dynamic job shop scheduling. Int J Adv Manuf Technol, 24, 70-75. Dorigo, M., Maniezzo, V., & Colorni, A. (1996). Ant system: optimization by a colony of cooperating agents. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, 26(1), 29-41. Gabarro, K. 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Job shop scheduling with lot-sizing and batching in an uncertain real-world environment. Paper presented at the 2nd Multidisciplinary International Conference on Scheduling: Theory and Applications (MISTA 2005), New York, USA. Unachak, P. (2007). Genetic algorithm in job shop scheduling. Retrieved December 27, 2006, from http://www.cse.msu.edu/~unachakp/SurveyPresent.ppt van der Zwaan, S., & Marques, C. (1999). Ant colony optimization for job shop scheduling. Paper presented at the Third Workshop on Genetic Algorithms and Artificial Life (GAAL 99), Lisbon, Portugal. Von Frisch, K. (1973). Decoding the language of the bee. Nobel Lecture, University of Munich, Federal Republic of Germany Retrieved September 19, 2006, from http://nobelprize.org/nobel_prizes/medicine/laureates/1973/frisch-lecture.pdf Wilcox, A. (2005). JIP - the Java Interactive Profiler: an effective new configurable profiler for Java. Retrieved August 21, 2006, from jiprof.sourceforge.net Xu, Q. (2001). Introduction to job shop scheduling problem. Retrieved May 17, 2006, from http://www.cs.umbc.edu/671/fall01/class-notes/jobshop.ppt Yamada, T. (2003). Studies on metaheuristics for jobshop and flowshop scheduling problems. Kyoto University, Kyoto. Yin, A.-H. (2004, August 26-29). A new neighbourhood structure for the job shop scheduling problem. Paper presented at the Third International Conference on Machine Learning and Cybernetics, Shanghai. |
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| Related Links: | ||||||||||||||||||||
| Main Page | ||||||||||||||||||||
| Background of the JSSP | ||||||||||||||||||||
| Why the Bee Colony was Chosen? | ||||||||||||||||||||
| Modeling the JSSP as a Bee Colony | ||||||||||||||||||||
| Algorithm1 | ||||||||||||||||||||
| Modifications of Algorithm1 | ||||||||||||||||||||
| Algorithm2 | ||||||||||||||||||||
| Modifications of Algorithm2 | ||||||||||||||||||||
| Profiling | ||||||||||||||||||||
| Proposed Future Directions | ||||||||||||||||||||
| Conclusion | ||||||||||||||||||||
| References | ||||||||||||||||||||
| My Info: | ||||||||||||||||||||
| Name: | Yeo Lian Sheng | |||||||||||||||||||
| Email: | [email protected] | |||||||||||||||||||