Results 31 to 40 of about 9,758 (260)
A decomposition-based warm-start method for stochastic programming [PDF]
, 2013 In this paper we propose a warm-start technique for interior point methods applicable to multi-stage stochastic linear programming problems. The main idea is to generate an initial point by decomposing the problem at the second stage and using an ...
Colombo, Marco +3 more
core +1 more source
Engineering Reports, 2022 An alternative way of looking at tolerance optimization is presented through a stochastic perspective by accounting for both manufacturing process uncertainty as well as uncertain market conditions.
Russell Krenek
doaj +1 more source
A Review on the Performance of Linear and Mixed Integer Two-Stage Stochastic Programming Software
Algorithms, 2022 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 purpose.
Juan J. Torres +3 more
doaj +1 more source
Journal of Modern Power Systems and Clean Energy, 2023 Most existing distribution networks are difficult to withstand the impact of meteorological disasters. With the development of active distribution networks (ADNs), more and more upgrading and updating resources are applied to enhance the resilience of ...
Hongzhou Chen +5 more
doaj +1 more source
Modelling and solution methods for stochastic optimisation [PDF]
, 2011 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.In this thesis we consider two research problems, namely, (i) language constructs for modelling stochastic programming (SP) problems and (ii) solution ...
Zverovich, Victor
core
From mice to humans—divergent strategies for intestinal homeostasis and regeneration
FEBS Letters, EarlyView.Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa +2 more
wiley +1 more source
A Two-Stage Stochastic Linear Programming Model for Tactical Planning in the Soybean Supply Chain
Logistics, 2023 Background: The soybean market is representative of the world. Brazil is the largest producer and exporter of this crop and has low production costs but high logistical costs, which are influenced mainly by transport costs. Added to these characteristics,
Silvia Araújo dos Reis +2 more
doaj +1 more source
On Generating Lagrangian Cuts for Two-Stage Stochastic Integer Programs
INFORMS Journal on Computing, 2022 We investigate new methods for generating Lagrangian cuts to solve two-stage stochastic integer programs. Lagrangian cuts can be added to a Benders reformulation and are derived from solving single scenario integer programming subproblems identical to those used in the nonanticipative Lagrangian dual of a stochastic integer program.
Rui Chen 0034, James R. Luedtke
openaire +2 more sources
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
The Value of Stochastic Modeling in Two-Stage Stochastic Programs with Cost Uncertainty [PDF]
Operations Research, 2014 Although stochastic programming is probably the most effective framework for handling decision problems that involve uncertain variables, it is always a costly task to formulate the stochastic model that accurately embodies our knowledge of these variables.
Erick Delage +2 more
openaire +1 more source