SolverStudio has been used by the EU-funded AMBER project to build a waterway optimisation system. To quote the project:

Welcome to AMBER River Infrastructure Planning (RIP) Tool. The model is designed to find the best combination of river infrastructure modification, mitigation, and removal actions in order to optimise trade-offs between:1) river connectivity2) project implementation cost3) hydropower generation and4) water storage capacity.The model allows a user to input baseline barrier data, barrier mitigation project data, and modify optimisation model settings.

You can download this at https://amber.international/software/

There’s a great overview of software available for optimisation in Optima (volume 103, 2017), the Mathematical Optimization Society Newsletter. This includes a good tutorial for PuLP, written by its developer (and optimisation guru/consultant) Stu Mitchell.

Our PhD student, and JuMP coder extraordinaire, Oscar Dowson, presented on SolverStudio, Julia and JuMP at the JuliaOpt/JuMP Developers conference, June 12-16, 2017, at the Sloan School of Business, Massachusetts Institute of Technology. Watch Oscar’s presentation on YouTube.

Lovely article by Victor Zverovich on Pokemon Go attack optimisation using Python. Good luck with capturing those gymns… Andrew

There’s a nice article “IP in the i” by Martin J. Chlond in “INFORMS Transactions on Education 16(1), pp. 39–41” about using SolverStudio to solve the new Wijuko and ABC Logic puzzles, including a SolverStudio implementation.

If you speak German, you may be interested in the recently published book:

Mike Steglich, Dieter Feige und Peter Klaus: Logistik-Entscheidungen: Modellbasierte Entscheidungsunterstützung in der Logistik mit LogisticsLab, 2. aktualisierte und komplett überarbeitete Auflage, De Gruyter, Berlin und Boston 2016.

This covers using SolverStudio and the CMPL modelling language. Mike Steglich has done a great job of adding CMPL support to SolverStudio; it is great to have SolverStudio as a core part of his new book.

For more information, including CMPL examples, see the Logistics Lab.

Check out this webinar on 20 May on using AMPL with the Gurobi solver. Looks very interesting. Andrew

You may find that SolverStudio (v 0.09.02 or earlier) is not working with NEOS. NEOS have recently tweaked their systems, and so you need to edit RunGAMSNEOS.py or RunAMPLNEOS.py and change all lines with “time.sleep(1)” into “time.sleep(5)”. This will be fixed in the next release. Andrew

SolverStudio is pleased to be part of the IFORS initiative to support operations research activities in developing countries, where access to specialist commercial software is often prohibited by licensing costs. For more on this initiative, see the IFORS Developing Countries OR Resources Website.