Simulation modeling is a powerful technique for solving complex business problems and supporting Decision Intelligence, enabling data-driven decision-making across strategic, tactical, and operational levels.
In many real-world decisions, the key question is not what will happen, but rather which controllable parameters, settings, or policies will lead to the best possible outcome? This is fundamentally an optimization problem.
In this webinar, the focus was on:
- When and why simulation-based optimization is the right decision-support tool.
- How the OptQuest Optimization Engine works and how it integrates with simulation models.
- How to apply Genetic Algorithms for optimization within AnyLogic.
- How to configure and run Custom Experiments in AnyLogic to enable optimization.
- Practical insights into modeling decision variables, constraints, and objective functions.
Download the supplemental materials (PDF).
Find the model files here.
