egon.cheme.cmu.edu
Untitled Document
http://egon.cheme.cmu.edu/glossary.html
For extensive glossary on optimization see. Algorithm for NLP, MILP and MINLP that relies on decomposition in which variables are partitioned into complicating and non-complicating. Function given by the sum of products of two variables. Algorithm for MILP and MINLP that relies on enumeration and bounding of a tree search to find the optimum integer solution. Logic-based optimization technique that is based on implicit enumeration and constraint propagation. Optimum solution to a model such that small pe...
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.
minlp.org
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...
minlp.org
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...
minlp.org
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.
research.che.utexas.edu
Sustainable Manufacturing and - Home
http://research.che.utexas.edu/susman/index.html
NSF Sustainable Manufacturing Workshop, 2015. US-China SM Workshop 2014, Wuhan. Cincinnati Roadmap Workshop 2013. Pittsburgh AIChE Workshop 2012. Center for Sustainable Engineering. Center for Sustainable Engineering (Syracuse). Center for Advanced Process Decision-Making (Carnegie-Mellon). Smart Manufacturing Leadership Coalition. AICHE Institute for Sustainability. National Council for Advanced Manufacturing (NACFAM). National Alliance for Advanced Biofuels and Bioproducts (NAABB).
minlp.org
CMU-IBM Cyber-Infrastructure for MINLP
http://www.minlp.org/contribute/index.php
You must be logged in to contribute to the library. Or want to change your password? You must have an account to contribute to the. CMU-IBM Cyber-Infrastructure for MINLP library. If you do not have an account. To create an account. CMU-IBM Cyber-Infrastructure for MINLP. This cyber-infrastructure project has been funded by the National Science Foundation.
minlp.org
CMU-IBM Cyber-Infrastructure for MINLP
http://www.minlp.org/goals/index.php
Our major goals are the following:. Create a library of optimization problems in different application areas in which one or several alternative models are presented with their derivation. In addition, each model has one or several instances that can serve to test various algorithms. Provide a mechanism for researchers and users to contribute towards the creation of the library of optimization problems. Provide information on MINLP tutorials and bibliography to disseminate this information.
