minlp.org minlp.org

minlp.org

CMU-IBM Cyber-Infrastructure for MINLP

CMU-IBM Cyber-Infrastructure for MINLP collaborative site. This collaborative site has as a major goal to promote the optimization of linear and nonlinear models with one or several alternative model formulations involving discrete and continuous variables through mixed-integer nonlinear programming (MINLP), or generalized disjunctive programming (GDP). Three major objectives are:. Create a library of optimization problems that can be generally formulated as MINLP/GDP models. Goals of our project.

http://www.minlp.org/

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jd●●●●●@andrew.cmu.edu

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CMU-IBM Cyber-Infrastructure for MINLP | minlp.org Reviews
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CMU-IBM Cyber-Infrastructure for MINLP collaborative site. This collaborative site has as a major goal to promote the optimization of linear and nonlinear models with one or several alternative model formulations involving discrete and continuous variables through mixed-integer nonlinear programming (MINLP), or generalized disjunctive programming (GDP). Three major objectives are:. Create a library of optimization problems that can be generally formulated as MINLP/GDP models. Goals of our project.
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CMU-IBM Cyber-Infrastructure for MINLP | minlp.org Reviews

https://minlp.org

CMU-IBM Cyber-Infrastructure for MINLP collaborative site. This collaborative site has as a major goal to promote the optimization of linear and nonlinear models with one or several alternative model formulations involving discrete and continuous variables through mixed-integer nonlinear programming (MINLP), or generalized disjunctive programming (GDP). Three major objectives are:. Create a library of optimization problems that can be generally formulated as MINLP/GDP models. Goals of our project.

INTERNAL PAGES

minlp.org minlp.org
1

CMU-IBM Cyber-Infrastructure for MINLP

http://www.minlp.org/resources/index.php

Global Optimization with Branch-and-Reduce. Lectures on Convex Optimization. Nonlinear Programming: Concepts, Algorithms and Applications (. Overview of Mixed-integer Nonlinear Programming. A Practical Guide to Mixed Integer Nonlinear Programming (MINLP). Sven Leyffer, Jeff Linderoth). A Short Course In Nonlinear Optimization. Solution methods for SDP arising from combinatorial optimization problems Part 1. IMA Hot Topics Workshop. Formulating and solving non-standard model types using gams/emp. Abhishek...

2

CMU-IBM Cyber-Infrastructure for MINLP

http://www.minlp.org/participants/index.php

Ignacio Grossmann, Chair. Jon Lee, Vice-Chair. Susara van der Heever. CMU-IBM Cyber-Infrastructure for MINLP. This cyber-infrastructure project has been funded by the National Science Foundation.

3

CMU-IBM Cyber-Infrastructure for MINLP

http://www.minlp.org/goals/instructions.php

Contribute to the library of problems and models. To contribute to the library of MINLP and GDP problems (linear and nonlinear) through a new problem, new models to an existing problem, or new instances to a model of an existing problem, the guidelines for submitting the corresponding files are as follows ( see an MINLP example problem here. See a GDP example problem here. Problem statement (pdf). Describe precisely the application problem. ( see an example file here. Model(s) (pdf).One or several al...

4

CMU-IBM Cyber-Infrastructure for MINLP

http://www.minlp.org/library/instances.php

Viewing results 1-10 (of 382). Items per page (10). Best Known Objective Value. Water Treatment Network Design. Water Treatment Network Design. MINLP and MPCC Strategies for Optimization of a Class of Hybrid Dynamic Systems. MINLP and MPCC Strategies for Optimization of a Class of Hybrid Dynamic Systems. MINLP and MPCC Strategies for Optimization of a Class of Hybrid Dynamic Systems. MINLP and MPCC Strategies for Optimization of a Class of Hybrid Dynamic Systems. CMU-IBM Cyber-Infrastructure for MINLP.

5

CMU-IBM Cyber-Infrastructure for MINLP

http://www.minlp.org/index.php

CMU-IBM Cyber-Infrastructure for MINLP collaborative site. This collaborative site has as a major goal to promote the optimization of linear and nonlinear models with one or several alternative model formulations involving discrete and continuous variables through mixed-integer nonlinear programming (MINLP), or generalized disjunctive programming (GDP). Three major objectives are:. Create a library of optimization problems that can be generally formulated as MINLP/GDP models. Goals of our project.

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egon.cheme.cmu.edu egon.cheme.cmu.edu

GROSSMANN RESEARCH GROUP - Links

http://egon.cheme.cmu.edu/links.html

American Institute of Chemical Engineers. The American Chemical Society. Chemical Engineering PanAmerican Collaboration. CMU-IBM Cyber-Infrastructure for MINLP collaborative site. CMU-IBM Open source MINLP Project. Computer Aids for Chemical Engineers. The Council For Chemical Research. Directory Faculty Process Systems Engineering. FOCAPO 2003 and 2012. IMA Workshop on MINLP. International Colloquium Perspectives in Process Operations. International Society of Global Optimization.

egon.cheme.cmu.edu egon.cheme.cmu.edu

GROSSMANN RESEARCH GROUP - Software

http://egon.cheme.cmu.edu/software.html

A comprehensive website on MINLP and GDP can be found in the CMU-IBM MINLP Collaborative Cybersite. This collaborative site has as a major goal to promote the optimization of linear and nonlinear models with one or several alternative model formulations involving discrete and continuous variables. Three major objectives are:. Create a library of optimization problems that can be generally formulated as MINLP/GDP models. MINLP problems can be solved with the outer-approximation method DICOPT.

capd.cheme.cmu.edu capd.cheme.cmu.edu

CAPD - Center for Advanced Process Decision-making

http://capd.cheme.cmu.edu/minlp.htm

History PSE at CMU. New Cybersite for MINLP. We want to welcome you to the CMU-IBM Cyberinfrastructure Collaborative site for MINLP. Http:/ www.minlp.org. And invite you to contribute to a unique library of MINLP optimization problems. This site has been funded by the National Science Foundation, Grant OCI-0750826. If you have any comments or suggestions, please send them to:. We very much look forward to your participation. Ignacio Grossmann and Jon Lee, Co-chairs Committee Members.

coin-or.org coin-or.org

COIN-OR Related Resources

http://www.coin-or.org/resources.html

Join us on LinkedIn. Follow us on Twitter. Follow us on Google. This page presents outside resources related to COIN-OR. Information on COIN-OR projects themselves may be found through the Projects. Page or the Documentation. Suggestions for links to include on this page may be emailed to. Editor at coin-or.org. Other Open-Source Tools for OR. For finding cliques in graphs. A library for semidefinite programming. GNU Linear Programming Kit. Computer algebra, similar to Mathematica or Maple. Version contr...

capd.cheme.cmu.edu capd.cheme.cmu.edu

CAPD - Center for Advanced Process Decision-making

http://capd.cheme.cmu.edu/index.html

History PSE at CMU. Is a Carnegie Mellon University Research Center engaged in Process Systems Engineering Research for the Process Industries. Advanced Computer-Based Techniques For:. Nick Sahinidis, Director. Understand and aid complex design and operation issues faced by industry. Develop and advance modeling and solution methods for process systems engineering. Obama announces Smart Manufacturing Institute. Larry Biegler becomes Department Head. New NLP book by Larry Biegler. New Cybersite for MINLP.

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MINLP Workshop

Fueled by a variety of applications, interest in mixed-integer nolinear optimization has grown considerably over the past two decades. As the MINLP community grew during this time, a series of conferences and workshops were recently organized on the topic. These meetings draw academics and practitioners in discussions addressing theory, algorithms, computational implementations, and applications of MINLP. Recent MINLP workshops took place in the U.S. and Europe:. Was organized by Jon Lee. Is organized by...

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Skip to main content. NLP and MINLP test problems. THE OPTIMIZATION FIRM develops software tools to help companies minimize costs, maximize profits, and optimize their operations. The company's flagship product, BARON, is a computational system for solving nonconvex optimization problems to global optimality. Purely continuous, purely integer, and mixed-integer nonlinear problems can be solved with the software.

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CMU-IBM Cyber-Infrastructure for MINLP

CMU-IBM Cyber-Infrastructure for MINLP collaborative site. This collaborative site has as a major goal to promote the optimization of linear and nonlinear models with one or several alternative model formulations involving discrete and continuous variables through mixed-integer nonlinear programming (MINLP), or generalized disjunctive programming (GDP). Three major objectives are:. Create a library of optimization problems that can be generally formulated as MINLP/GDP models. Goals of our project.

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