Open Access
Issue |
MATEC Web Conf.
Volume 100, 2017
13th Global Congress on Manufacturing and Management (GCMM 2016)
|
|
---|---|---|
Article Number | 02025 | |
Number of page(s) | 8 | |
Section | Part 2: Internet +, Big data and Flexible manufacturing | |
DOI | https://doi.org/10.1051/matecconf/201710002025 | |
Published online | 08 March 2017 |
- Shim, V. A., Tan, K. C., Cheong, C. Y. et al. A Hybrid Estimation of Distribution Algorithm with Decomposition for Solving the Multiobjective Multiple Traveling Salesman Problem. IEEE transactions on systems, man and cybernetics, Part C. Applications and reviews: A publication of the IEEE Systems, Man, and Cybernetics Society, 2012, 42(5):682–691. [CrossRef] [Google Scholar]
- Daibo Liu, Mengshu Hou, Hong Qu et al. A simple model for the multiple traveling salesmen problem with single depot and multiple sink. COMPEL: The international journal for computation and mathematics in electrical and electronic engineering, 2013, 32(2):556–574. [CrossRef] [Google Scholar]
- Marco Casazza, Alberto Ceselli, Marc Nunkesser et al. Efficient algorithms for the double traveling salesman problem with multiple stacks. Computers & operations research, 2012, 39(5):1044–1053. [CrossRef] [Google Scholar]
- Cheang, B.,Gao, X., Lim, A. et al. Multiple pickup and delivery traveling salesman problem with last-in-first-out loading and distance constraints. European Journal of Operational Research, 2012, 223(1):60–75. [Google Scholar]
- Marco Casazza, Alberto Ceselli, Marc Nunkesser et al. Efficient algorithms for the double traveling salesman problem with multiple stacks. Computers & operations research, 2012, 39(5):1044–1053. [CrossRef] [Google Scholar]
- Carrabs, F., Cerulli, R., Speranza, M.G. et al. A branch-and-bound algorithm for the double travelling salesman problem with two stacks. Networks: An International Journal, 2013, 61(1):58–75. [Google Scholar]
- Estevez-Fernandez A, Borm P, Hamers H et al. On the core of multiple longest traveling salesman games. European Journal of Operational Research, 2006, 174(3):1816–1827. [CrossRef] [Google Scholar]
- Elad Kivelevitch, Kelly Cohen, Manish Kumar et al. A Market-based Solution to the Multiple Traveling Salesmen Problem. Journal of Intelligent & Robotic Systems: Theory & Application, 2013, 72(1):21–40. [CrossRef] [Google Scholar]
- Angel Felipe, M. Teresa Ortuno, Gregorio Tirado et al. The double traveling salesman problem with multiple stacks: A variable neighborhood search approach. Computers & operations research, 2009, 36(11):2983–2993. [CrossRef] [Google Scholar]
- Qu H, Yi Z, Tang H J. A columnar competitive model for solving multi-traveling salesman problem . Chaos, Solitons and Fractals. Chaos, solitions & Fractals, 2007, 31(4):1009–1019. [CrossRef] [Google Scholar]
- Laporte G, Nobert Y. A cutting planes algorithm for the m-salesmen problem . Journal of the Operational Research Society, 1980, 31:1017–1023. [CrossRef] [Google Scholar]
- Russell R A. An effective heuristic for the m-tour traveling salesman problem with some side conditions . Operations Research, 1977, 25(3):517–524. [CrossRef] [Google Scholar]
- Yonggang Peng, Xiaoping Luo, Wei Wei et al. A New Fuzzy Adaptive Simulated Annealing Genetic Algorithm and Its Convergence Analysis and Convergence Rate Estimation. International Journal of Control, Automation, and Systems, 2014, 12(3):670–679. [CrossRef] [Google Scholar]
- Hoseini, P., Shayesteh, M.G.. Efficient contrast enhancement of images using hybrid ant colony optimisation, genetic algorithm, and simulated annealing. Digital Signal Processing, 2013, 23(3):879–893. [CrossRef] [Google Scholar]
- Min Dai, Dunbing Tang, Adriana Giret et al. Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm. Robotics and Computer Integrated Manufacturing: An International Journal of Manufacturing and Product and Process Development, 2013, 29(5):418–429. [Google Scholar]
- Ying Xu, Rong Qu, Renfa Li et al. A simulated annealing based genetic local search algorithm for multi-objective multicast routing problems. Annals of operations research, 2013, 206(Jul.):527–555. [CrossRef] [Google Scholar]
- Symone Soares, Carlos Henggeler Antunes, Rui Araujo et al. Comparison of a genetic algorithm and simulated annealing for automatic neural network ensemble development. Neurocomputing, 2013, 121(Dec.9):498–511. [CrossRef] [Google Scholar]
- Xiaorong Xie*, Qirong Jiang Yingduo. Damping multimodal subsynchronous resonance using a static var compensator controller optimized by genetic algorithm and simulated annealing. European transactions on electrical power, 2012, 22(8):1191–1204. [CrossRef] [Google Scholar]
- A.F. Crossland, D. Jones, N.S. Wade et al. Planning the location and rating of distributed energy storage in LV networks using a genetic algorithm with simulated annealing. International journal of electrical power and energy systems, 2014, 59(Jul.):103–110. [CrossRef] [Google Scholar]
- Meei-Yuh Ku, Michael H. Hu, Ming-Jaan Wang et al. Simulated annealing based parallel genetic algorithm for facility layout problem. International journal of production research, 2011, 49(6/8):1801–1812. [CrossRef] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.