Stochastic Integer Programming is a mathematical optimization framework that combines integer programming with stochastic optimization to address decision-making problems involving discrete variables under uncertainty, where the distinguishing feature is the integration of probabilistic constraints or random parameters within an integer or mixed-integer decision structure.
410
Publications
26.5K
Citations
907
Authors
426
Institutions
Publications per year
2017–2026
143
Publications
410
Introduction to Stochastic Programming
J M Wilson · Journal of the Operational Research Society · 1998 · 1.7K citations
A Stochastic Programming Model
Shinji Kataoka · Econometrica · 1963 · 573 citations
1–5 of 410
Authors
907
- RS
11
h-index
- LN
11
h-index
- GH
10
h-index
- SA
10
h-index
- SS
9
h-index
1–5 of 907
Institutions
426
Texas A&M University
College Station, United States
14 h-index
28 publications
1.4K citations
Georgia Institute of Technology
Atlanta, United States
13 h-index
25 publications
3.2K citations
University of Arizona
Tucson, United States
9 h-index
11 publications
1.2K citations
University of Wisconsin–Madison
Madison, United States
8 h-index
10 publications
590 citations
North China Electric Power University
Beijing, China
8 h-index
18 publications
1K citations
University of Regina
Regina, Canada
8 h-index
14 publications
828 citations
University of Pittsburgh
Pittsburgh, United States
8 h-index
13 publications
475 citations
University of Michigan
Ann Arbor, United States
7 h-index
14 publications
636 citations
1–8 of 426
Venues
- Mathematical Programming
20 publications · 2.5K citations
19
h-index
- INFORMS journal on computing
17 publications · 972 citations
15
h-index
- Operations Research
17 publications · 1.9K citations
15
h-index
- Transportation Science
15 publications · 1.9K citations
14
h-index
- IEEE Transactions on Power Systems
14 publications · 1.5K citations
14
h-index
1–5