A review on the performance of linear and mixed integer two-stage stochastic programming software
This paper presents a tutorial on the state-of-the-art software for the solution of two-stage
(mixed-integer) linear stochastic programs and provides a list of software designed for this …
(mixed-integer) linear stochastic programs and provides a list of software designed for this …
Hybrid stochastic-robust service restoration for wind power penetrated distribution systems considering subsequent random contingencies
Service restoration (SR) is essential to recovering distribution systems with outages when
extreme weather conditions occur. However, the occurrence of long-duration extreme …
extreme weather conditions occur. However, the occurrence of long-duration extreme …
Two-stage service restoration of integrated electric and heating system with the support of mobile heat sources
Mobile heat sources (MHSs), including truck-mounted mobile electric boilers (MEBs) and
mobile thermal energy storages (MTESs), are critical flexibility resources. However, these …
mobile thermal energy storages (MTESs), are critical flexibility resources. However, these …
A progressive hedging approach for large-scale pavement maintenance scheduling under uncertainty
This study approaches a multi-stage stochastic mixed-integer programming model for the
high-level complexity of large-scale pavement maintenance scheduling problems. The …
high-level complexity of large-scale pavement maintenance scheduling problems. The …
Analysis of the pavement deterioration uncertainty scenarios on pavement maintenance and rehabilitation planning optimization
This study aims to compare the results of stochastic and deterministic models and their
corresponding optimal M&R actions considering different budget and deterioration rate …
corresponding optimal M&R actions considering different budget and deterioration rate …
Planning with multiple transmission and storage investment options under uncertainty: A nested decomposition approach
Achieving the ambitious climate change mitigation objectives set by governments worldwide
is bound to lead to unprecedented amounts of network investment to accommodate low …
is bound to lead to unprecedented amounts of network investment to accommodate low …
A sampling-based progressive hedging algorithm for stochastic programming
The progressive hedging algorithm (PHA) is a cornerstone among algorithms for large-scale
stochastic programming problems. However, its traditional implementation is hindered by …
stochastic programming problems. However, its traditional implementation is hindered by …
A modelling and solution approach for wind-affected drone-truck routing problem under uncertainty
M Dodge, SA MirHassani, F Hooshmand - Expert Systems with Applications, 2024 - Elsevier
In the field of logistics and transportation, drones and trucks effectively enhance each other's
capabilities by offering complementary benefits in terms of speed, cargo capacity, and …
capabilities by offering complementary benefits in terms of speed, cargo capacity, and …
[HTML][HTML] Stochastic OD demand estimation using stochastic programming
Understanding the origin–destination (OD) demand of travelers can help traffic operators
and mobility service providers form more efficient mobility planning and operation decisions …
and mobility service providers form more efficient mobility planning and operation decisions …
Efficient stochastic programming in Julia
M Biel, M Johansson - INFORMS Journal on Computing, 2022 - pubsonline.informs.org
We present StochasticPrograms. jl, a user-friendly and powerful open-source framework for
stochastic programming written in the Julia language. The framework includes both …
stochastic programming written in the Julia language. The framework includes both …