Two‐stage stochastic integer programming: a survey

Rüdiger Schultz · Leen Stougie · Maarten H. van der Vlerk

115 citations0/0 files storedStatistica Neerlandica

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Risk and Portfolio Optimization Advanced Optimization Algorithms Research Optimization and Mathematical Programming

Abstract

Stochastic integer programming is more complicated than stochastic linear programming, as will be explained for the case of the two‐stage stochastic programming model. A survey of the results accomplished in this recent field of research is given.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 115 citations exist upstream.

References

2011Introduction to Stochastic Programming 1989Handbooks in operations research and management science 2010Stochastic Programming 1993The integer L-shaped method for stochastic integer programs with complete recourse 1988Numerical Techniques for Stochastic Optimization

Cited by

2006An interval-parameter two-stage stochastic integer programming model for environmental systems planning under uncertainty 2011Two‐Stage Stochastic Integer Programming: A Brief Introduction 2021Toward sustainability in designing agricultural supply chain network: A case study on palm date 2016Monotonic bounds in multistage mixed-integer stochastic programming 2004Strategic inventory deployment in the steel industry 2021An Early Stage Researcher's Primer on Systems Medicine Terminology

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.