A theoretical study on the behavior of simulated annealing leading to a new cooling schedule
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References listed on IDEAS
- Bruce Hajek, 1988. "Cooling Schedules for Optimal Annealing," Mathematics of Operations Research, INFORMS, vol. 13(2), pages 311-329, May.
- S. Lin & B. W. Kernighan, 1973. "An Effective Heuristic Algorithm for the Traveling-Salesman Problem," Operations Research, INFORMS, vol. 21(2), pages 498-516, April.
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- Shelokar, P.S. & Jayaraman, V.K. & Kulkarni, B.D., 2008. "Multicanonical jump walk annealing assisted by tabu for dynamic optimization of chemical engineering processes," European Journal of Operational Research, Elsevier, vol. 185(3), pages 1213-1229, March.
- L. Sedda & P. Atkinson & E. Barca & G. Passarella, 2012. "Imputing censored data with desirable spatial covariance function properties using simulated annealing," Journal of Geographical Systems, Springer, vol. 14(3), pages 265-282, July.
- Emanuele Barca & Giuseppe Passarella & Michele Vurro & Alberto Morea, 2015. "MSANOS: Data-Driven, Multi-Approach Software for Optimal Redesign of Environmental Monitoring Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(2), pages 619-644, January.
- Pongcharoen, P. & Promtet, W. & Yenradee, P. & Hicks, C., 2008. "Stochastic Optimisation Timetabling Tool for university course scheduling," International Journal of Production Economics, Elsevier, vol. 112(2), pages 903-918, April.
- Issam AlHadid & Khalid Kaabneh & Hassan Tarawneh, 2018. "Hybrid Simulated Annealing with Meta-Heuristic Methods to Solve UCT Problem," Modern Applied Science, Canadian Center of Science and Education, vol. 12(11), pages 385-385, November.
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