Learn ANYLOGIC-SCRIPTING with Real Code Examples

Custom decision-making logic for supply chain agents

Automate multi-run parameter experiments

Trigger events based on agent conditions

Connect simulation model to external SQL database

Visualize dynamic dashboards with scripted indicators

Check Java syntax and imports

Verify agent references and hierarchies

Inspect console logs for runtime errors

Test events and state transitions individually

Use AnyLogic debugger and breakpoints for complex scripts

Unit test Java methods within agents

Verify events and triggers execute correctly

Run small population simulations first

Validate outputs against expected results

Debug with console logs and breakpoints

Run simulations within AnyLogic IDE

Export models as standalone Java applications

Deploy cloud or desktop simulations for experiments

Schedule batch runs with parameter sweeps

Share model files (.alp) for collaborative work

AnyLogic IDE with scripting support

Java SDK for custom code

Simulation libraries and built-in blocks

Experiment templates for optimization and Monte Carlo

External tools for data integration (SQL, APIs, Excel)

Database connections (JDBC, SQL) for input/output

External APIs for dynamic data feeds

Excel or CSV import/export for scenarios

Java libraries for statistical and mathematical functions

Visualization libraries for advanced dashboards

Modularize agent methods and functions

Use experiments to test multiple scenarios

Profile performance regularly

Document scripts for team collaboration

Leverage built-in blocks before scripting custom code

Learning both Java and AnyLogic concepts simultaneously

Debugging complex event-driven simulations

Optimizing performance for large agent populations

Managing multimethod models with mixed paradigms

Integrating external data sources securely and efficiently