Amsterdam Optimization Modeling Group. 3625 R ST NW, Washington DC 20007, USA. Phone: (202) 337 4809. 2513 BZ Den Haag, The Netherlands. We provide services related to Mathematical Programming (optimization) models and their application to real world problems. Some of our areas of expertise are listed below:.
http://www.amsterdamoptimization.com/
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Amsterdam Optimization Modeling Group
Erwin Kalvelagen
3625 ●●●●●ET NW
Was●●●ton , District of Columbia, 20007
UNITED STATES
View this contact
Amsterdam Optimization Modeling Group
Erwin Kalvelagen
3625 ●●●●●ET NW
Was●●●ton , District of Columbia, 20007
UNITED STATES
View this contact
Amsterdam Optimization Modeling Group
Erwin Kalvelagen
3625 ●●●●●ET NW
Was●●●ton , District of Columbia, 20007
UNITED STATES
View this contact
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Amsterdam Optimization Modeling Group | amsterdamoptimization.com Reviews
https://amsterdamoptimization.com
Amsterdam Optimization Modeling Group. 3625 R ST NW, Washington DC 20007, USA. Phone: (202) 337 4809. 2513 BZ Den Haag, The Netherlands. We provide services related to Mathematical Programming (optimization) models and their application to real world problems. Some of our areas of expertise are listed below:.
amsterdamoptimization.com
Database Connectivity
http://www.amsterdamoptimization.com/database.html
Successfull decision support systems depend on high quality data. These days such data is often found in relational databases, ranging form small Access databases to full blown ERP systems. Being able to move data reliably from those systems into an optimization model can be an important first step in building an effective application. MDB2GMS: import Access data. SQL2GMS: import data from various databases. GDX2ACCESS: export GAMS data to Access tables. Collection of notes on connectivity and interfacing.
Math Programming Techniques
http://www.amsterdamoptimization.com/mathprogramming.html
This page contains links to documents describing how some popular decomposition schemes, solution techniques and modeling paradigms can be implemented in a high level modeling language. Some of the techniques and algorithms described require familiarity with advanced topics in mathematical programming. In general just enough theory is touched upon so that the notation used becomes clear. For more information use an advanced text book. Benders decomposition with GAMS. Dantzig-Wolfe decomposition with GAMS.
Scheduling and planning
http://www.amsterdamoptimization.com/scheduling.html
Or to be more precise. Is not always suggested as the best suited technology to solve scheduling problems. However with careful modeling it is possible to solve some very difficult problems. In this section we discuss a few examples. The progressive party problem. You can solve this model yourself by submitting the model expressed in AMPL to the NEOS Feaspump server. Smith e.a. paper. Reference: Erwin Kalvelagen,. On solving the progressive party problem as a MIP. The social golfer problem. Job Shop Sche...
Benchmark Models
http://www.amsterdamoptimization.com/benchmarkmodels.html
The best way to compare solvers is to try them out on your own models. However, sometimes one has to purchase solvers before the model is developed and a scaled up version of the model is available. Here we collect some large, difficult models in GAMS format that can be used to get an impression on the performance of different solvers. These models are on purpose somewhat artificial: that makes them simple to understand and to explain. Real world models are often more messy. Model m /all/;. This is a fai...
Projects
http://www.amsterdamoptimization.com/projects.html
This section has some visuals from past projects. The databases for this CGE world trade model were converted from MS Access and Excel files into a single large GDX file using the tools mdb2gms. Some datasets are the result of merging many data sources. Data forms the basis for this partial equilibrium model. Industrial Parallel Machine Scheduling. PMAC Model: parallel machine scheduling. Run GAMS from an Oracle based application. Environment Canada CGE Model Excel Reporting Tool.
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Scheduling algorithm in GAMS, AMPL, MFS and lp_solve | Fluent.Interface
https://brightsparc.wordpress.com/2009/03/31/scheduling-algorithm-in-gams-ampl-mfs-and-lp_solve
Laquo; Billy McCaferty and his S#arp Architecture. TDD on show with ASP.NET MVC at Mix09. Scheduling algorithm in GAMS, AMPL, MFS and lp solve. In researching scheduling problems, I came across Nathan Brixius’ blog post. Which utilised Microsoft solver foundation for a critical path. Who had a relevant post on a conference scheduling problem. To model a solution. My goal was to port this to MSF, which was made easier with Ewrin’s great tutorial. I started by porting the GAMS solution to AMPL. Var x {t in...
yetanothermathprogrammingconsultant.blogspot.com
Yet Another Math Programming Consultant: Cplex slides
http://yetanothermathprogrammingconsultant.blogspot.com/2015/08/cplex-slides.html
Yet Another Math Programming Consultant. So I am now a full time math programming consultant. I will try to post my (technical) notes here. Keeping a searchable list of them will make this useful for me in my daily life. Tuesday, August 4, 2015. Slides from ISMP 2015 by CPLEX Optimization Studio engine developers. Wiki/W1a790e980a7d 49c5 963d 2965e5d01401/page/ISMP%202015. These presentations describe how CPO and CPLEX performance were improved in version 12.6.2:. Handling of symmetries in LP.
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Amsterdam Optimization Modeling Group
Amsterdam Optimization Modeling Group. 3625 R ST NW, Washington DC 20007, USA. Phone: (202) 337 4809. 2513 BZ Den Haag, The Netherlands. We provide services related to Mathematical Programming (optimization) models and their application to real world problems. Some of our areas of expertise are listed below:.
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