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We're excited to share that we are moving forward. We're leaving behind the LocalSolver brand and transitioning to our new identity: Hexaly. This represents a leap forward in our mission to enable every organization to make better decisions faster when faced with operational and strategic challenges.

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  • Quick start guide

Quick start guide

This Quick Start Guide gives you an overview of Hexaly’s main features and helps you to build your first model in few minutes.

After a quick description of Hexaly basic principles you will be invited to solve your first optimization problem with Hexaly Optimizer. This first model can be implemented either with Hexaly dedicated modeling language (LSP) or in your favorite language (Python, C++, Java, .Net). LSP was designed to enable Hexaly users to write optimization models with a natural mathematical formalism, even for set-based modeling. Our introduction to LSP will give you a first view of its expressiveness.

This documentation is just a QuickStart. For advanced needs, we encourage you to read:

  • Our documentation on modeling features, presenting the operators offered by Hexaly to design clear and simple optimization models.

  • Our documentation on technical features to learn how to parameterize the solver, interrupt the search, retrieve solutions, and so on…

  • The example tour that shows you how to apply Hexaly Optimizer on a bunch of problems.

  • The solver APIs for Python, Java, .NET and C++.

  • The LSP Reference manual that descibes precisely the modeler behavior and all the available functions and modules.

Code examples, including those presented here, are available in folder examples of your LocalSolver directory.