Abstract
The shortest path is an important problem in network optimization theory. This paper considers the shortest path problem under the situation where weights of edges in a network include both uncertainty and randomness and focuses on the case that the weights of edges are expressed by uncertain random variables. Some optimization models based on chance theory are proposed in order to find the shortest path which fully reflects uncertain and random information. This paper proposes also an intelligent algorithm to calculate the shortest path for an uncertain random network. A numerical example is given to illustrate its effectiveness.
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References
Balinski ML (1961) Fixed cost transportation problem. Nav Res Logist Q 8(1):41–54
Bellman E (1958) On a routing problem. Q Appl Math 16(1):87–90
Dijkstra EW (1959) A note on two problems in connection with graphs. Numer Math 1(1):269–271
Ding SB (2014) Uncertain minimum cost flow problem. Soft Comput 18(11):2201–2207
Dreyfus S (1969) An appraisal of some shortest path algorithms. Oper Res 17(3):359–412
Dubois D, Prade H (1980) Fuzzy sets and systems: theory and applications. Academic Press, New York
Floyd RW (1962) Algorithm-97-shortest path. Comm Assoc Comput Mach 5(6):345
Frank H (1969) Shortest paths in probability graphs. Oper Res 17(4):583–599
Frank H, Hakimi SL (1965) Probabilistic flows through a communication network. IEEE Trans Circuit Theory 12:413–414
Fu L, Rilett LR (1998) Expected shortest paths in dynamic and stochastic traffic networks. Transp Res Part B Methodol 32(7):499–516
Gao X (2009) Some properties of continuous uncertain measure. Int J Uncertain Fuzziness Knowl Based Syst 17(3):419–426
Gao Y (2011) Shortest path problem with uncertain arc lengths. Comput Math Appl 62:2591–2610
Guo HY, Wang XS (2014) Variance of uncertain random variables. J Uncertain Anal Appl 2:6
Hall R (1986) The fastest path through a network with random time-dependent travel time. Transp Sci 20(3):182–188
Han SW, Peng ZX, Wang SQ (2014) The maximum flow problem of uncertain network. Inf Sci 265:167–175
Hou YC (2014) Subadditivity of chance measure. J Uncertain Anal Appl 2:14
Jia LF, Yang XF, Gao X (2018) A new definition of cross entropy for uncertain random variables and its application. J Intell Fuzzy Syst 35(1):1193–1204
Ke H, Su TY (2015) Uncertain random multilevel programming with application to product control problem. Soft Comput 19(6):1739–1746
Liu B (2007) Uncertainty theory, 2nd edn. Springer, Berlin
Liu B (2009a) Some research problems in uncertainty theory. J Uncertain Syst 3(1):3–10
Liu B (2009b) Theory and practice of uncertain programming, 2nd edn. Springer, Berlin
Liu B (2010) Uncertainty theory: a branch of mathematics for modeling human uncertainty, 2nd edn. Springer, Berlin
Liu B (2012) Why is there a need for uncertainty theory. J Uncertain Syst 6(1):3–10
Liu YH (2013a) Uncertain random variables: a mixture of uncertainty and randomness. Soft Comput 17(4):625–634
Liu YH (2013b) Uncertain random programming with applications. Fuzzy Optim Decis Mak 12(2):153–169
Liu B (2014) Uncertain random graph and uncertain random network. J Uncertain Syst 8(1):3–12
Liu YH, Ha MH (2010) Expected value of function of uncertain variables. J Uncertain Syst 4(3):181–186
Liu YH, Ralescu DA (2014) Risk index in uncertain random risk analysis. Int J Uncertain Fuzziness Knowl Based Syst 22(4):491–504
Loui P (1983) Optimal paths in graphs with stochastic or multidimensional weights. Commun Assoc Comput Mach 26(9):670–676
Mirchandani PB (1976) Shortest distance and reliability of probabilistic networks. Comput Oper Res 3(4):347–676
Okada S (2004) Fuzzy shortest path problems incorporating interactivity among paths. Fuzzy Sets Syst 142(3):335–357
Peng ZX, Iwamura K (2010) A sufficient and necessary condition of uncertainty distribution. J Interdiscip Math 13(3):277–285
Qin ZF (2018) Uncertain random goal programming. Fuzzy Optim Decis Mak 17:375–386
Sheng YH, Gao JW (2014) Chance distribution of the maximum flow of uncertain random network. J Uncertain Anal Appl 2:15
Sheng YH, Gao Y (2016) Shortest path problem of uncertain random network. Comput Ind Eng 99:97–105
Sheng YH, Yao K (2014) Some formulas of variance of uncertain random variable. J Uncertain Anal Appl 2:12
Sheng YH, Qin ZF, Shi G (2017) Minimum spanning tree problem of uncertain random network. J Intell Manuf 28(3):565–574
Shi G, Sheng YH, Cui Q (2015) Relative entropy model of uncertain random shortest path. Int J e-Navig Marit Econ 2:87–100
Sigal CL, Pritsker AAB, Solberg JJ (1980) The stochastic shortest route problem. Oper Res 5(28):1122–1129
Yang XF, Gao JW, Ni YD (2018) Resolution principle in uncertain random environment. IEEE Trans Fuzzy Syst 26(3):1578–1588
Zhang B, Peng J (2012) Uncertain programming model for Chinese postman problem with uncertain weights. Ind Eng Manag Syst 11(1):18–25
Zhou J, Yang F, Wang K (2014) Multi-objective optimization in uncertain random environments. Fuzzy Optim Decis Mak 13(4):397–413
Acknowledgements
This work was supported by National Natural Science Foundation of China (Grants No. 61563050), Joint Key Program of National Natural Science Foundation of China (Grants No. U1703262), Innovation Team Research Program of Universities in Xinjiang Uyghur Autonomous Region (Grants No. XJEDU2017 T001), and this work was granted by China Scholarship Council (Grants 201708 655050).
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Sheng, Y., Mei, X. Uncertain random shortest path problem. Soft Comput 24, 2431–2440 (2020). https://doi.org/10.1007/s00500-018-03714-5
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DOI: https://doi.org/10.1007/s00500-018-03714-5