J
Jean-Paul Watson
Researcher at Lawrence Livermore National Laboratory
Publications - 182
Citations - 8874
Jean-Paul Watson is an academic researcher from Lawrence Livermore National Laboratory. The author has contributed to research in topics: Stochastic programming & Local search (optimization). The author has an hindex of 45, co-authored 178 publications receiving 7344 citations. Previous affiliations of Jean-Paul Watson include University of Florida & Office of Scientific and Technical Information.
Papers
More filters
Journal ArticleDOI
Pyomo: modeling and solving mathematical programs in Python
TL;DR: Pyomo provides a capability that is commonly associated with algebraic modeling languages such as AMPL, AIMMS, and GAMS, but Pyomo’s modeling objects are embedded within a full-featured high-level programming language with a rich set of supporting libraries.
Book
Pyomo - Optimization Modeling in Python
TL;DR: This book provides a complete and comprehensive reference/guide to Pyomo (Python Optimization Modeling Objects) for both beginning and advanced modelers, including students at the undergraduate and graduate levels, academic researchers, and practitioners.
Journal ArticleDOI
The battle of the water sensor networks (BWSN): A design challenge for engineers and algorithms
Avi Ostfeld,James G. Uber,Elad Salomons,Jonathan W. Berry,William E. Hart,Cynthia A. Phillips,Jean-Paul Watson,G. Dorini,Philip Jonkergouw,Zoran Kapelan,Francesco di Pierro,Soon-Thiam Khu,Dragan Savic,Demetrios G. Eliades,Marios M. Polycarpou,Santosh R. Ghimire,Brian D. Barkdoll,R. Gueli,Jinhui Jeanne Huang,Edward A. McBean,William James,Andreas Krause,Jure Leskovec,Shannon L. Isovitsch,Jianhua Xu,Carlos Guestrin,Jeanne M. VanBriesen,Mitchell J. Small,Paul S. Fischbeck,Ami Preis,Marco Propato,Olivier Piller,Gary B. Trachtman,Zheng Yi Wu,Thomas M. Walski +34 more
TL;DR: The Battle of the Water Sensor Networks (BWSN) was undertaken as part of the 8th Annual Water Distillery Safety Week, which explored how design algorithms compare to the efforts of human designers for practical design of sensor networks.
Journal ArticleDOI
Multi-Stage Robust Unit Commitment Considering Wind and Demand Response Uncertainties
TL;DR: In this article, a robust optimization approach was developed to derive an optimal unit commitment decision for the reliability unit commitment runs by ISOs/RTOs, with the objective of maximizing total social welfare under the joint worst-case wind power output and demand response scenario.
Journal ArticleDOI
Progressive hedging innovations for a class of stochastic mixed-integer resource allocation problems
TL;DR: The necessity and efficacy of the techniques is empirically assessed on a two-stage stochastic network flow problem with integer variables in both stages and algorithmic innovations in the context of a broad class of scenario-based resource allocation problem.