Year |
Citation |
Score |
2020 |
Gangammanavar H, Liu Y, Sen S. Stochastic Decomposition for Two-Stage Stochastic Linear Programs with Random Cost Coefficients Informs Journal On Computing. DOI: 10.1287/Ijoc.2019.0929 |
0.4 |
|
2018 |
Gangammanavar H, Sen S. Two-Scale Stochastic Optimization for Controlling Distributed Storage Devices Ieee Transactions On Smart Grid. 9: 2691-2702. DOI: 10.1109/Tsg.2016.2616881 |
0.43 |
|
2018 |
Atakan S, Lulli G, Sen S. A State Transition MIP Formulation for the Unit Commitment Problem Ieee Transactions On Power Systems. 33: 736-748. DOI: 10.1109/Tpwrs.2017.2695964 |
0.326 |
|
2018 |
Atakan S, Sen S. A Progressive Hedging based branch-and-bound algorithm for mixed-integer stochastic programs Computational Management Science. 15: 501-540. DOI: 10.1007/S10287-018-0311-3 |
0.436 |
|
2017 |
Pang J, Sen S, Shanbhag UV. Two-stage non-cooperative games with risk-averse players Mathematical Programming. 165: 235-290. DOI: 10.1007/S10107-017-1148-1 |
0.359 |
|
2016 |
Sen S, Liu Y. Mitigating Uncertainty via Compromise Decisions in Two-Stage Stochastic Linear Programming: Variance Reduction Operations Research. 64: 1422-1437. DOI: 10.1287/Opre.2016.1526 |
0.418 |
|
2016 |
Qi Y, Sen S. The Ancestral Benders’ cutting plane algorithm with multi-term disjunctions for mixed-integer recourse decisions in stochastic programming Mathematical Programming. 1-43. DOI: 10.1007/S10107-016-1006-6 |
0.451 |
|
2015 |
Gangammanavar H, Sen S, Zavala VM. Stochastic Optimization of Sub-Hourly Economic Dispatch With Wind Energy Ieee Transactions On Power Systems. DOI: 10.1109/Tpwrs.2015.2410301 |
0.371 |
|
2014 |
Aketi P, Sen S. Modeling demand response and economic impact of advanced and smart metering Energy Systems. 5: 583-606. DOI: 10.1007/S12667-013-0113-1 |
0.305 |
|
2014 |
Gade D, Küçükyavuz S, Sen S. Decomposition algorithms with parametric Gomory cuts for two-stage stochastic integer programs Mathematical Programming. 144: 39-64. DOI: 10.1007/S10107-012-0615-Y |
0.437 |
|
2013 |
Foin N, Sen S, Petraco R, Nijjer S, Torii R, Kousera C, Broyd C, Mehta V, Xu Y, Mayet J, Hughes A, Di Mario C, Krams R, Francis D, Davies J. Method for percutaneously introducing, and removing, anatomical stenosis of predetermined severity in vivo: the "stenotic stent". Journal of Cardiovascular Translational Research. 6: 640-8. PMID 23733543 DOI: 10.1007/s12265-013-9476-x |
0.421 |
|
2013 |
Pennell AM, Aggen JB, Sen S, Chen W, Xu Y, Sullivan E, Li L, Greenman K, Charvat T, Hansen D, Dairaghi DJ, Wright JJ, Zhang P. 1-(4-Phenylpiperazin-1-yl)-2-(1H-pyrazol-1-yl)ethanones as novel CCR1 antagonists. Bioorganic & Medicinal Chemistry Letters. 23: 1228-31. PMID 23374868 DOI: 10.1016/J.Bmcl.2013.01.005 |
0.405 |
|
2012 |
Chen B, Küçükyavuz S, Sen S. A computational study of the cutting plane tree algorithm for general mixed-integer linear programs Operations Research Letters. 40: 15-19. DOI: 10.1016/J.Orl.2011.10.009 |
0.41 |
|
2011 |
Chen B, Küçükyavuz S, Sen S. Finite Disjunctive Programming Characterizations for General Mixed-Integer Linear Programs Operations Research. 59: 202-210. DOI: 10.1287/Opre.1100.0882 |
0.435 |
|
2010 |
Higle JL, Rayco B, Sen S. Stochastic scenario decomposition for multistage stochastic programs Ima Journal of Management Mathematics. 21: 39-66. DOI: 10.1093/Imaman/Dpp001 |
0.458 |
|
2010 |
Desai J, Sen S. A global optimization algorithm for reliable network design European Journal of Operational Research. 200: 1-8. DOI: 10.1016/J.Ejor.2008.12.016 |
0.412 |
|
2009 |
Yuan Y, Sen S. Enhanced Cut Generation Methods for Decomposition-Based Branch and Cut for Two-Stage Stochastic Mixed-Integer Programs Informs Journal On Computing. 21: 480-487. DOI: 10.1287/Ijoc.1080.0300 |
0.356 |
|
2009 |
Sen S, Zhou Z, Huang K. Enhancements of two-stage stochastic decomposition Computers & Operations Research. 36: 2434-2439. DOI: 10.1016/J.Cor.2008.09.015 |
0.361 |
|
2008 |
Alkelai A, Baum A, Carless M, Crowley J, Dasbanerjee T, Dempster E, Docherty S, Hare E, Galsworthy MJ, Grover D, Glubb D, Karlsson R, Mill J, Sen S, Quinones MP, et al. The XVth World Congress of Psychiatric Genetics, October 7-11, 2007: Rapporteur summaries of oral presentations. American Journal of Medical Genetics. Part B, Neuropsychiatric Genetics : the Official Publication of the International Society of Psychiatric Genetics. 147: 233-77. PMID 18297693 DOI: 10.1002/Ajmg.B.30711 |
0.378 |
|
2008 |
Ntaimo L, Sen S. A comparative study of decomposition algorithms for stochastic combinatorial optimization Computational Optimization and Applications. 40: 299-319. DOI: 10.1007/S10589-007-9085-1 |
0.675 |
|
2007 |
Genc TS, Reynolds SS, Sen S. Dynamic oligopolistic games under uncertainty: A stochastic programming approach Journal of Economic Dynamics and Control. 31: 55-80. DOI: 10.1016/J.Jedc.2005.09.011 |
0.336 |
|
2006 |
Sen S, Yu L, Genc T. A stochastic programming approach to power portfolio optimization Operations Research. 54: 55-72. DOI: 10.1287/Opre.1050.0264 |
0.508 |
|
2006 |
Lulli G, Sen S. A heuristic procedure for stochastic integer programs with complete recourse European Journal of Operational Research. 171: 879-890. DOI: 10.1016/J.Ejor.2004.09.012 |
0.439 |
|
2006 |
Higle JL, Sen S. Multistage stochastic convex programs: Duality and its implications Annals of Operations Research. 142: 129-146. DOI: 10.1007/S10479-006-6165-Z |
0.432 |
|
2006 |
Sen S, Sherali HD. Decomposition with branch-and-cut approaches for two-stage stochastic mixed-integer programming Mathematical Programming. 106: 203-223. DOI: 10.1007/S10107-005-0592-5 |
0.593 |
|
2005 |
Casey MS, Sen S. The Scenario Generation Algorithm for Multistage Stochastic Linear Programming Mathematics of Operations Research. 30: 615-631. DOI: 10.1287/Moor.1050.0146 |
0.446 |
|
2005 |
Ntaimo L, Sen S. The million-variable "March" for stochastic combinatorial optimization Journal of Global Optimization. 32: 385-400. DOI: 10.1007/S10898-004-5910-6 |
0.68 |
|
2005 |
Sen S, Higle JL. The C 3 theorem and a D 2 algorithm for large scale stochastic mixed-integer programming: Set convexification Mathematical Programming. 104: 1-20. DOI: 10.1007/S10107-004-0566-Z |
0.426 |
|
2004 |
Lulli G, Sen S. A Branch-and-Price Algorithm for Multistage Stochastic Integer Programming with Application to Stochastic Batch-Sizing Problems Management Science. 50: 786-796. DOI: 10.1287/Mnsc.1030.0164 |
0.433 |
|
2003 |
Lulli G, Sen S. Scenario Updating Method for Stochastic Mixed-integer Programming Problems A Quarterly Journal of Operations Research. 401-406. DOI: 10.1007/978-3-642-55537-4_65 |
0.425 |
|
2001 |
Sen S, Pillai R, Joshi S, Rathi AK. A Mean-Variance Model for Route Guidance in Advanced Traveler Information Systems Transportation Science. 35: 37-49. DOI: 10.1287/Trsc.35.1.37.10141 |
0.359 |
|
2000 |
Wu J, Sen S. A Stochastic Programming Model for Currency Option Hedging Annals of Operations Research. 100: 227-249. DOI: 10.1023/A:1019296422231 |
0.403 |
|
2000 |
Sen S, Higle JL, Birge JR. Duality Gaps in Stochastic Integer Programming Journal of Global Optimization. 18: 189-194. DOI: 10.1023/A:1008314824754 |
0.399 |
|
1999 |
Sen S, Higle JL. An Introductory Tutorial on Stochastic Linear Programming Models Interfaces. 29: 33-61. DOI: 10.1287/Inte.29.2.33 |
0.356 |
|
1999 |
Higle JL, Sen S. Statistical approximations forstochastic linear programming problems Annals of Operations Research. 85: 173-193. DOI: 10.1023/A:1018917710373 |
0.442 |
|
1997 |
Sherali HD, Choi G, Sen S. An exterior-point polytope sliding and deformation algorithm for linear programming problems Informatica (Lithuanian Academy of Sciences). 8: 559-582. DOI: 10.3233/Inf-1997-8406 |
0.592 |
|
1997 |
Sen S, Head KL. Controlled Optimization of Phases at an Intersection Transportation Science. 31: 5-17. DOI: 10.1287/Trsc.31.1.5 |
0.337 |
|
1996 |
Higle JL, Sen S. Duality and statistical tests of optimality for two stage stochastic programs Mathematical Programming. 75: 257-275. DOI: 10.1007/Bf02592155 |
0.397 |
|
1995 |
Higle JL, Sen S. Statistical approximations for recourse constrained stochastic programs Annals of Operations Research. 56: 157-175. DOI: 10.1007/Bf02031705 |
0.431 |
|
1994 |
Sodhi MS, Askin RG, Sen S. A hierarchical model for control of flexible manufacturing systems Journal of the Operational Research Society. 45: 1185-1196. DOI: 10.1057/Jors.1994.188 |
0.306 |
|
1994 |
Sen S, Doverspike RD, Cosares S. Network planning with random demand Telecommunication Systems. 3: 11-30. DOI: 10.1007/Bf02110042 |
0.322 |
|
1994 |
Higle JL, Sen S. Finite master programs in regularized stochastic decomposition Mathematical Programming. 67: 143-168. DOI: 10.1007/Bf01582219 |
0.417 |
|
1994 |
Au KT, Higle JL, Sen S. Inexact subgradient methods with applications in stochastic programming Mathematical Programming. 63: 65-82. DOI: 10.1007/Bf01582059 |
0.433 |
|
1992 |
Higle JL, Sen S. On the Convergence of Algorithms with Implications for Stochastic and Nondifferentiable Optimization Mathematics of Operations Research. 17: 112-131. DOI: 10.1287/Moor.17.1.112 |
0.372 |
|
1992 |
Sen S. Relaxations for probabilistically constrained programs with discrete random variables Operations Research Letters. 11: 81-86. DOI: 10.1016/0167-6377(92)90037-4 |
0.357 |
|
1991 |
Higle JL, Sen S. Stochastic Decomposition: An Algorithm for Two-Stage Linear Programs with Recourse Mathematics of Operations Research. 16: 650-669. DOI: 10.1287/Moor.16.3.650 |
0.381 |
|
1991 |
Higle JL, Sen S. Statistical verification of optimality conditions for stochastic programs with recourse Annals of Operations Research. 30: 215-239. DOI: 10.1007/Bf02204818 |
0.434 |
|
1987 |
Murphy FH, Sen S, Soyster AL. Electric utility expansion planning in the presence of existing capacity: a nondifferentiable, convex programming approach Computers & Operations Research. 14: 19-31. DOI: 10.1016/0305-0548(87)90054-2 |
0.423 |
|
1987 |
Sen S, Sherali HD. Nondifferentiable reverse convex programs and facetial convexity cuts via a disjunctive characterization Mathematical Programming. 37: 169-183. DOI: 10.1007/Bf02591693 |
0.584 |
|
1986 |
Sen S, Yakowitz D. A primal-dual subgradient method for time staged capacity expansion planning European Journal of Operational Research. 27: 301-312. DOI: 10.1016/0377-2217(86)90327-9 |
0.453 |
|
1986 |
Sen S, Sherali HD. Facet inequalities from simple disjunctions in cutting plane theory Mathematical Programming. 34: 72-83. DOI: 10.1007/Bf01582164 |
0.551 |
|
1986 |
Sen S, Sherali HD. A class of convergent primal-dual subgradient algorithms for decomposable convex programs Mathematical Programming. 35: 279-297. DOI: 10.1007/Bf01580881 |
0.596 |
|
1985 |
Sherali HD, Sen S. Technical Note-On Generating Cutting Planes from Combinatorial Disjunctions Operations Research. 33: 928-933. DOI: 10.1287/Opre.33.4.928 |
0.587 |
|
1985 |
Sen S, Sherali HD. A branch and bound algorithm for extreme point mathematical programming problems Discrete Applied Mathematics. 11: 265-280. DOI: 10.1016/0166-218X(85)90078-2 |
0.613 |
|
1985 |
Sen S, Sherali HD. On the convergence of cutting plane algorithms for a class of nonconvex mathematical programs Mathematical Programming. 31: 42-56. DOI: 10.1007/Bf02591860 |
0.59 |
|
1984 |
Sherali HD, Soyster AL, Murphy FH, Sen S. Intertemporal Allocation of Capital Costs in Electric Utility Capacity Expansion Planning Under Uncertainty Management Science. 30: 1-19. DOI: 10.1287/Mnsc.30.1.1 |
0.517 |
|
1984 |
Sen S, Saraf SK, Soyster AL, Murphy FH. The capital supply curve in capacity expansion models: Some economic and algorithmic aspects Naval Research Logistics Quarterly. 31: 199-212. DOI: 10.1002/Nav.3800310204 |
0.344 |
|
1982 |
Murphy FH, Sen S, Soyster AL. Electric Utility Capacity Expansion Planning with Uncertain Load Forecasts Iie Transactions. 14: 52-59. DOI: 10.1080/05695558208975038 |
0.39 |
|
1982 |
Sherali HD, Soyster AL, Murphy FH, Sen S. Linear programming based analysis of marginal cost pricing in electric utility capacity expansion European Journal of Operational Research. 11: 349-360. DOI: 10.1016/0377-2217(82)90200-4 |
0.547 |
|
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