On the solution of large-scale mixed integer programming scheduling models

Large-Scale Stochastic Mixed-Integer Programming Algorithms for Power Generation Scheduling

This chapter presents a stochastic unit commitment model for power systems and revisits parallel decomposition algorithms for these types of models. The model is a two-stage stochastic programming problem with first-stage binary variables and second-stage mixed-binary variables. The here-and-now decision is to find day-ahead schedules for slow thermal power generators. The wait-and-see decision...

Large-Scale Bi-Level Strain Design Approaches and Mixed-Integer Programming Solution Techniques

The use of computational models in metabolic engineering has been increasing as more genome-scale metabolic models and computational approaches become available. Various computational approaches have been developed to predict how genetic perturbations affect metabolic behavior at a systems level, and have been successfully used to engineer microbial strains with improved primary or secondary me...

Stochastic Short-Term Hydro-Thermal Scheduling Based on Mixed Integer Programming with Volatile Wind Power Generation

This study addresses a stochastic structure for generation companies (GenCoʼs) that participate in hydro-thermal self-scheduling with a wind power plant on short-term scheduling for simultaneous reserve energy and energy market. In stochastic scheduling of HTSS with a wind power plant, in addition to various types of uncertainties such as energy price, spinning /non-spinning reserve prices, unc...

Cutting Planes for Large Mixed Integer Programming Models

On the Combinatorial Structure of Network-based Discrete-time Mixed-integer Programming Chemical Production Scheduling Models

The present work includes a critical analysis of an extensive computational study of mixedinteger programming (MIP) scheduling models and a presentation of results on the combinatorial structure of discrete-time MIP models. First, we summarize the results from an extensive computational study including more than 1,00 problem instances (Sundaramoorthy and Maravelias, 2011). We focus on mediumto ...