Problem Collections

Benchmarking problem collections may as well serve different purposes. This is why we started a collection of different benchmarking collections, libraries, etc. which can be found here ...

• Opimisation Problem Library (OPL)

It collects optimisation problems and benchmark suites with information about high level properties like the type of decision variables, number of objectives, and the presence of constraints. Where available, references to papers describing the problem and implementations are included. It's open so that everyone can add their problem(s) to it!

• Opimisation Problem Library (OPL)

• Add our problem here

• Tailoring Examples

This collection focuses on the way how applications and algorithms come together, i.e. it collects tailoring approaches mainly regarding tailoring the algorithm to the applications but also tailoring the application, i.e. problem formulation or structure, to an existing algorithm. Thus, next to some basic problem characteristics, information regarding the tailoring process is collected in addition.

• • https://tai-src.github.io/how-to-tailor/examples/

  • To add an example create a new issue at here

• ROAR-NET problem statement collection

A repository for problem statements collected in the scope of ROAR-NET . Problem characteristics are collected and directly made available for the algorithms form the ROAR-NET API to address, solve the corresponding problem. 

• • https://github.com/roar-net/problem-statements

  • To contribute open a pull request with a new problem following a given template