D. L. Woodruff

发表

Some computational issues in cluster analysis with no a priori metric

David M. Rocke, Johanna S. Hardin, Daniel A. Coleman, 1999 .

Optimization Software Class Libraries

G. P. McKeown, R. Sharda, D. L. Woodruff, 2002, Operations Research/Computer Science Interfaces Series.

Modeling and solving a large-scale generation expansion planning problem under uncertainty

D. L. Woodruff, J. Watson, Shan Jin, 2011 .

Building Reusable Software Components for Heuristic Search

David L. Woodruff, Stefan Voß, Andreas Fink, 1999 .

Experiments concerning sequential versus simultaneous maximization of objective function and distance

David L. Woodruff, Stefan Voß, Arne Løkketangen, 2008, J. Heuristics.

UC Davis Center for Digital Security

David L. Woodruff, Brian H. Kolner, David M. Rocke, 2008 .

SEQUENCING AND BATCHING FOR TWO CLASSES OF JOBS WITH DEADLINES AND SETUP TIMES

David L. Woodruff, Mark L. Spearman, D. L. Woodruff, 1992 .

Human-Guided Enhancement of a Stochastic Local Search: Visualization and Adjustment of 3D Pheromone

David L. Woodruff, Bernd Hamann, Jaya Sreevalsan-Nair, 2007, SLS.

Chance and service level constraints for stochastic generation expansion planning

D. L. Woodruff, J. Watson, Geun-Cheol Lee, 2012 .

Bin Packing Problem with uncertainty on item availability : an application to Capacity Planning in Logistics

D. L. Woodruff, G. Perboli, L. Gobbato, 2022 .

A new approximation method for generating day-ahead load scenarios

David L. Woodruff, Sarah M. Ryan, Yonghan Feng, 2013, 2013 IEEE Power & Energy Society General Meeting.

Stochastic Unit Commitment at ISO Scale : An ARPAe Project

Cesar Augusto Silva Monroy, R. Wets, D. L. Woodruff, 2013 .

Selection of road project portfolios

D. L. Woodruff, A. Løkketangen, J. Odeck, 2002 .

Computation of robust estimates of multivariate location and shape

David L. Woodruff, David M. Rocke, D. L. Woodruff, 1993 .

Selection of an optimal subset of sizes

David L. Woodruff, Carlton H. Scott, Soheila Jorjani, 1999 .

Production Planning and Deterioration Constraints: A Survey

D. L. Woodruff, S. Voß, J. Pahl, 2007 .

The stochastic vehicle routing problem, a literature review, part I: models

David L. Woodruff, Halvard Arntzen, Jorge Oyola, 2016, EURO J. Transp. Logist..

Scalable Heuristics for Stochastic Programming with Scenario Selection

D. L. Woodruff, J. Watson, 2008 .

Mape_Maker: A Scenario Creator

Jean-Paul Watson, David L. Woodruff, Jean-Paul Watson, 2019 .

Statistical metrics for assessing the quality of wind power scenarios for stochastic unit commitment

D. L. Woodruff, S. Ryan, Youngrok Lee, 2016 .

Message from the Editor

David L. Woodruff, D. L. Woodruff, 2013, INFORMS J. Comput..

Stochastic programming for flexible global supply chain planning

D. L. Woodruff, S. Voß, Yingjie Fan, 2017 .

A Note on Experiments and Software For Multidimensional Order Statistics

D. L. Woodruff, Stefan Zillmann, 2017, 1704.07806.

A Stochastic Bin Paking Model for Logistical Capacity Planning

David L. Woodruff, Teodor Gabriel Crainic, Guido Perboli, 2012 .

Deployment of Enterprise-Scale Systems Sustainability Optimization on Commodity Compute Clusters.

D. L. Woodruff, J. Watson, D. Strip, 2007 .

Cluster Analysis for Large Datasets: An Effective Algorithm for Maximizing the Mixture Likelihood

Daniel A. Coleman, D. L. Woodruff, 2000 .

Robust estimation of multivariate location and shape

David L. Woodruff, David M. Rocke, D. L. Woodruff, 1997 .

Network Interdiction and Stochastic Integer Programming

David L. Woodruff, D. L. Woodruff, 2013 .

New developments in Pyomo.

David L. Woodruff, John Daniel Siirola, Carl D. Laird, 2016 .

Critiquing Coopr?s Modeling and Analysis Environment.

David L. Woodruff, John Daniel Siirola, Carl D. Laird, 2012 .

PySP: Modeling and Solving Stochastic Linear and Mixed-Integer Programs in Python.

David L. Woodruff, Jean-Paul Watson, D. L. Woodruff, 2011 .

Au tho r P roo f forest management Generating Stochastic Ellipsoidal Forest and Wildland Fire Scar Scenarios for Strategic Forest Management Planning under Uncertainty

Claudio A. Kuhlmann, R. Wets, D. L. Woodruff, 2014 .

Scripting Custom Workflows

David L. Woodruff, John Daniel Siirola, Carl D. Laird, 2021 .

Integrating pivot based search with branch and bound for binary MIPs

David L. Woodruff, Arne Løkketangen, D. L. Woodruff, 2000 .

PySP: modeling and solving stochastic programs in Python

W. Hart, D. L. Woodruff, J. Watson, 2012, Math. Program. Comput..

Heuristic Search Algorithms for the Minimum Volume Ellipsoid

David M. Rocke, D. L. Woodruff, 1993 .

Long Term Resource Planning for Electric Power Systems Under Uncertainty

David L. Woodruff, James D. McCalley, Sarah M. Ryan, 2011 .

Automated screening for metabolites in complex mixtures using 2D COSY NMR spectroscopy

David L. Woodruff, Mark R. Viant, D. L. Woodruff, 2006, Metabolomics.

Discrimination models using variance-stabilizing transformation of metabolomic NMR data.

David M. Rocke, Mark R Viant, David M Rocke, 2004, Omics : a journal of integrative biology.

Pyomo: modeling and solving mathematical programs in Python

David L. Woodruff, William E. Hart, Jean-Paul Watson, 2011, Math. Program. Comput..

Discrete Lot-Sizing and Scheduling with Sequence-Dependent Setup Times and Costs Including Deterioration and Perishability Constraints

David L. Woodruff, Stefan Voß, Julia Pahl, 2011, 2011 44th Hawaii International Conference on System Sciences.

Solving the medium newspaper production/distribution problem

David L. Woodruff, Rick T. Olson, Michael G. Van Buer, 1999, Eur. J. Oper. Res..

A Better Model

David L. Woodruff, Stefan Voß, D. L. Woodruff, 2003 .

Progressive hedging innovations for a class of stochastic mixed-integer resource allocation problems

David L. Woodruff, Jean-Paul Watson, D. L. Woodruff, 2011, Comput. Manag. Sci..

Computable Robust Estimation of Multivariate Location and Shape in High Dimension Using Compound Estimators

David M. Rocke, D. L. Woodruff, 1994 .

Pyomo — Optimization Modeling in Python

David L. Woodruff, Carl D. Laird, William E. Hart, 2012, Springer Optimization and Its Applications.

Parametric Stochastic Programming with One Chance Constraint: Gaining Insights from Response Space Analysis

H. J. Greenberg, D. L. Woodruff, J. Watson, 2020 .

Preface: logistics, optimization and transportation—in memory of the late Arne Løkketangen

David L. Woodruff, Geir Hasle, Lars Magnus Hvattum, 2017, Ann. Oper. Res..

Optimization of Large-Scale Heterogeneous System-of-Systems Models

David L. Woodruff, Ojas Parekh, John Daniel Siirola, 2012 .

Obtaining lower bounds from the progressive hedging algorithm for stochastic mixed-integer programs

David L. Woodruff, Sarah M. Ryan, Dinakar Gade, 2016, Math. Program..

CONWIP: a pull alternative to kanban

David L. Woodruff, Wallace J. Hopp, Mark L. Spearman, 1990 .

Multi-period forecasting and scenario generation with limited data

David L. Woodruff, Roger J.-B. Wets, Ignacio Rios, 2015, Computational Management Science.

Computing confidence intervals on solution costs for stochastic grid generation expansion problems.

Jean-Paul Watson, David L.. Woodruff, D. L. Woodruff, 2010 .

Introduction to Computational Optimization Models for Production Planning in a Supply Chain

David L. Woodruff, Stefan Voß, D. L. Woodruff, 2003 .

The stochastic vehicle routing problem, a literature review, Part II: solution methods

David L. Woodruff, Halvard Arntzen, Jorge Oyola, 2017, EURO J. Transp. Logist..

Scatter Search to Generate Diverse MIP Solutions

David L. Woodruff, Fred Glover, Arne Løkketangen, 2000 .

Simulated annealing and tabu search: Lessons from a line search

David L. Woodruff, D. L. Woodruff, 1994, Comput. Oper. Res..

Improved identification of metabolites in complex mixtures using HSQC NMR spectroscopy.

Mark R Viant, Jeffrey S de Ropp, D. L. Woodruff, 2008, Analytica chimica acta.

Hashing vectors for tabu search

David L. Woodruff, Eitan Zemel, Eitan Zemel, 1993, Ann. Oper. Res..

A class of stochastic programs withdecision dependent random elements

David L. Woodruff, Roger J.-B. Wets, Tore W. Jonsbråten, 1998, Ann. Oper. Res..

A model for multi-stage production planning with load dependent lead times

David L. Woodruff, Stefan Voß, D. L. Woodruff, 2004, 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the.

Discussion of `Multivariate Outlier Detection and Robust Covariance Matrix Estimation

David L. Woodruff, David M. Rocke, D. L. Woodruff, 2001 .

Identification of Outliers in Multivariate Data

David L. Woodruff, David M. Rocke, D. L. Woodruff, 1996 .

Beam search for peak alignment of NMR signals

David L. Woodruff, Geun-Cheol Lee, D. L. Woodruff, 2004 .

Bin Packing Problems with Uncertainty on Item Characteristics: An Application to Capacity Planning in Logistics

David L. Woodruff, Teodor Gabriel Crainic, Guido Perboli, 2014 .

Progressive Hedging Innovations for a Class of Stochastic Resource Allocation Problems

David L. Woodruff, Jean-Paul Watson, David R. Strip, 2008 .

Cell2Fire: A Cell-Based Forest Fire Growth Model to Support Strategic Landscape Management Planning

David L. Woodruff, Andres Weintraub, David L. Martell, 2019, Frontiers in Forests and Global Change.

Proposals for chunking and tabu search

David L. Woodruff, D. L. Woodruff, 1998, Eur. J. Oper. Res..

Chunking Applied to Reactive Tabu Search

David L. Woodruff, D. L. Woodruff, 1996 .

Toward scalable stochastic unit commitment

David L. Woodruff, Cesar A. Silva-Monroy, Sarah M. Ryan, 2015 .

Stochastic optimization models in forest planning: a progressive hedging solution approach

Fernando Badilla Veliz, R. Wets, D. L. Woodruff, 2014, Ann. Oper. Res..

Generating Stochastic Ellipsoidal Forest and Wildland Fire Scar Scenarios for Strategic Forest Management Planning under Uncertainty

David L. Woodruff, Roger J.-B. Wets, David L. Martell, 2015 .

Generating short‐term probabilistic wind power scenarios via nonparametric forecast error density estimators

David L. Woodruff, Jean-Paul Watson, Roger J.-B. Wets, 2017 .

Scalable Heuristics for a Class of Chance-Constrained Stochastic Programs

David L. Woodruff, Jean-Paul Watson, Roger J.-B. Wets, 2010, INFORMS J. Comput..

Progressive hedging and tabu search applied to mixed integer (0,1) multistage stochastic programming

David L. Woodruff, Arne Løkketangen, D. L. Woodruff, 1996, J. Heuristics.

Multi-stage scenario generation by the combined moment matching and scenario reduction method

David L. Woodruff, Johan Oppen, Uladzimir Rubasheuski, 2014, Oper. Res. Lett..

Assessment of wind power scenario creation methods for stochastic power systems operations

David L. Woodruff, Jean-Paul Watson, Andrea Staid, 2020 .

Constructing probabilistic scenarios for wide-area solar power generation

David L. Woodruff, Cesar A. Silva-Monroy, Jean-Paul Watson, 2018 .

Collecting Animals for Slaughter - Adding Inventory Constraints to a Real World Routing Problem

David L. Woodruff, Arne Løkketangen, Johan Oppen, 2007 .

Toward scalable stochastic unit commitment. Part 1: load scenario generation

David L. Woodruff, Sarah M. Ryan, Yonghan Feng, 2015 .

Toward scalable, parallel progressive hedging for stochastic unit commitment

David L. Woodruff, Cesar A. Silva-Monroy, Sarah M. Ryan, 2013, 2013 IEEE Power & Energy Society General Meeting.

Mathematical Programs with Equilibrium Constraints

Jong-Shi Pang, Daniel Ralph, Zhi-Quan Luo, 2021, Pyomo — Optimization Modeling in Python.

Connecting MRP, MRP II and ERP — Supply Chain Production Planning Via Optimization Models

David L. Woodruff, Stefan Voß, D. L. Woodruff, 2005 .

PySP: modeling and solving stochastic programs in Python

David L. Woodruff, William E. Hart, Jean-Paul Watson, 2012, Mathematical Programming Computation.

Toward Scalable Stochastic Unit Commitment - Part 2: Assessing Solver Performance

David L. Woodruff, Dinakar Gade, Jean-Paul Watson, 2013 .

Experiments with, and on, algorithms for maximum likelihood clustering

David L. Woodruff, Torsten Reiners, D. L. Woodruff, 2004, Comput. Stat. Data Anal..

Title Robust Estimation of Multivariate Location and Shape Permalink

David M. Rocke, D. L. Woodruff, 2003 .

Computational Connections between Robust Multivariate Analysis and Clustering

David L. Woodruff, David M. Rocke, D. L. Woodruff, 2002, COMPSTAT.

Mathematical Programs with Equilibrium Constraints

Bethany L. Nicholson, John D. Siirola, Z. Luo, 2021, Pyomo — Optimization Modeling in Python.

A distance function to support optimized selection decisions

David L. Woodruff, Arne Løkketangen, D. L. Woodruff, 2005, Decis. Support Syst..

General Purpose Metrics for Solution Variety

David L. Woodruff, D. L. Woodruff, 2005 .

A Chunking Based Selection Strategy for Integrating Meta-Heuristics with Branch and Bound

David L. Woodruff, D. L. Woodruff, 1999 .

Progressive hedging as a meta-heuristic applied to stochastic lot-sizing

David L. Woodruff, Kjetil K. Haugen, Arne Løkketangen, 2001, Eur. J. Oper. Res..

A parallel hub-and-spoke system for large-scale scenario-based optimization under uncertainty

David T. Mildebrath, John D. Siirola, D. L. Woodruff, 2023, Mathematical Programming Computation.

Heuristics for Multi-Stage Interdiction of Stochastic Networks

David L. Woodruff, Harald Held, D. L. Woodruff, 2005, J. Heuristics.

Using Python and the Algebraic Modeling Language Pyomo to Specify Solve and Analyze Mathematical Programs.

David L. Woodruff, John Daniel Siirola, William E. Hart, 2013 .

What?s New in Coopr: Modeling Complex Systems with Blocks.

David L. Woodruff, John Daniel Siirola, William E. Hart, 2012 .