References
- Alidaee, B. Kochenberger, G.A. (2005). A note on a simple dynamic programming approach to the single-sink fixed-charge transportation problem. Transportation Science, 39 (1), 140–143.
- Christensen, T. R.L., Andersen, K.A. Klose, A. (2013). Solving the single-sink fixed- charge multiple-choice transportation problem by dynamic programming. Transportation Science, 47, 428–438.
- Haberl, J. (1991). Exact algorithm for solving a special fixed charge linear programming problem. Journal of Optimization Theory and Applications, 69, 489–529.
- Haberl, J., Nowak, C., Stoiser, G. Woschits, H. (1991). A branch-and-bound algorithm for solving a fixed charge problem in the profit optimization of sawn timber production. ZOR - Methods and Models of Operations Research, 35, 151–166.
- Herer, Y., Rosenblatt, M.J. Hefter, I. (1996). Fast algorithms for single-sink fixed charge transportation problem with application to manufacturing and transportation. Transportation Science, 30 (4), 276–290.
- Hirsch, W. Dantzig, G.B. (1968). The fixed charge problem. Naval Research Logistics Quarterly, 15 (3), 413–424.
- Klose, A. (2008). Algorithms for solving the single-sink fixed-charge transportation problem. Computers and Operations Research, 35, 2079–2092.
- Lushu, L. Lai, K.K. (2000). A fuzzy approach to the multi-objective transportation problem. Computers and Operations Research, 27, 43–57.
- Mahaparta, D.R., Roy, S.K. Biswal, M.P. (2013). Multi-choice stochastic transportation problem involving extreme value distribution. Applied Mathematical Modelling, 37, 2230–2240.
- Roy, S.K., Mahaparta, D.R., Biswal, M.P. (2012). Multi-choice stochastic transportation problem with exponential distribution. Journal of Uncertain Systems, 6 (3), 200–213.
- Roy, S.K. (2014). Multi-choice stochastic transportation problem involving Weibull distribution. International Journal of Operational Research, 21(1), 38–58.
- Zimmermann, H.J. (1985). Application of fuzzy set theory to mathematical programming. Information Sciences, 34, 29–58.