Results 31 to 40 of about 251,693 (300)
Approximation in two-stage stochastic integer programming [PDF]
Surveys in Operations Research and Management Science, 2014 Approximation algorithms are the prevalent solution methods in the field of stochastic programming. Problems in this field are very hard to solve. Indeed, most of the research in this field has concentrated on designing solution methods that approximate the optimal solution value.
Romeijnders, Ward +2 more
openaire +2 more sources
Demand-Side Management of Smart Distribution Grids Incorporating Renewable Energy Sources
Energies, 2019 The integration of renewable energy resources (RES) (such as wind and photovoltaic (PV)) on large or small scales, in addition to small generation units, and individual producers, has led to a large variation in energy production, adding uncertainty to ...
Gerardo J. Osório +4 more
doaj +1 more source
Multi-Objective Market Clearing Model with an Autonomous Demand Response Scheme
Energies, 2019 Demand response (DR) is known as a key solution in modern power systems and electricity markets for mitigating wind power uncertainties. However, effective incorporation of DR into power system operation scheduling needs knowledge of the price– ...
Neda Hajibandeh +5 more
doaj +1 more source
Aggressive prostate cancer is associated with pericyte dysfunction
Molecular Oncology, EarlyView.Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero +11 more
wiley +1 more source
A Two-Stage Stochastic Optimization Model for Cruise Ship Food Provisioning with Substitution
MathematicsThe global cruise industry has demonstrated remarkable growth, with modern ships functioning as large-scale floating resorts. Effective food provisioning is a critical operational function that directly impacts both cost efficiency and passenger ...
Weilin Sun, Ying Yang, Shuaian Wang
doaj +1 more source
Aggregation and discretization in multistage stochastic programming [PDF]
, 2018 Multistage stochastic programs have applications in many areas and support policy makers in finding rational decisions that hedge against unforeseen negative events.
Kuhn, Daniel
core
LDAcoop: Integrating non‐linear population dynamics into the analysis of clonogenic growth in vitro
Molecular Oncology, EarlyView.Limiting dilution assays (LDAs) quantify clonogenic growth by seeding serial dilutions of cells and scoring wells for colony formation. The fraction of negative wells is plotted against cells seeded and analyzed using the non‐linear modeling of LDAcoop.
Nikko Brix +13 more
wiley +1 more source
Molecular Oncology, EarlyView.To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley +1 more source
A Polyhedral Study of the Static Probabilistic Lot-Sizing Problem
, 2016 We study the polyhedral structure of the static probabilistic lot-sizing problem and propose valid inequalities that integrate information from the chance constraint and the binary setup variables. We prove that the proposed inequalities subsume existing
Kucukyavuz, Simge, Liu, Xiao
core +1 more source
Advanced Engineering Materials, EarlyView.Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source