Introductory videos on how to model in AIMMS
AIMMS offers a convenient development environment to define your mathematical optimization models, without the need to learn a programming language. The models can be defined in an organized, tree-like structure, with meaningful names for all model elements (so-called Identifiers types), that facilitates communication and model maintenance.
Typical elements that are used are:
- Fixed data are defined as Parameters in AIMMS
- Decision variables and the objective function are all defined as Variables in AIMMS
- Constraints are defined as bounds on the variables, or as separate Constraints in AIMMS
- Parameters, Variables and Constraints can all be multi-dimensional, with each index running over a Set
10 Steps
Learn how to build up your model by this set of 'How to' Videos.
- Overview of a Model in AIMMS
- Entering Sets in AIMMS
- Entering Parameters and Variables in AIMMS
- Entering Objective and Constraints in AIMMS
- Entering Ranges for Variables in AIMMS
- Entering Data in AIMMS
- Saving and Loading Data Cases in AIMMS
- Adding Mathematical Programs in AIMMS
- Solving a Model in AIMMS
- Using the Math Program Inspector in AIMMS