Learn ANYLOGIC-SCRIPTING with Real Code Examples

public void moveRandomly() {
    double dx = uniform(-1, 1);
    double dy = uniform(-1, 1);
    setX(getX() + dx);
    setY(getY() + dy);
}

Define an agent action to move randomly in a 2D space.

Event myEvent = new Event();
myEvent.setAction(() -> {
    System.out.println("Event triggered at time: " + time());
});
myEvent.setRepeatInterval(5);
myEvent.start();

Trigger an action every 5 simulation time units.

for(int i = 0; i < 100; i++) {
    MyModel model = new MyModel();
    model.run();
    double result = model.getOutputMetric();
    System.out.println("Replication " + i + ": " + result);
}

Run a Monte Carlo experiment with multiple replications.

public void moveToNode(Node target) {
    double dx = target.getX() - getX();
    double dy = target.getY() - getY();
    double distance = Math.sqrt(dx*dx + dy*dy);
    setX(getX() + dx / distance);
    setY(getY() + dy / distance);
}

Move an agent to a target node in a network.

Seize seize = new Seize();
seize.setResource(myResource);
seize.setAgent(this);
seize.start();

delay(5);
Release release = new Release();
release.setResource(myResource);
release.setAgent(this);
release.start();

Seize a resource for an agent and release it after a delay.

public void updateSpeed(double newSpeed) {
    this.speed = newSpeed;
    System.out.println("New speed set to: " + newSpeed);
}

Update agent parameter during simulation.

for(int i = 0; i < 50; i++) {
    Agent agent = new Agent();
    agent.setX(uniform(0, 100));
    agent.setY(uniform(0, 100));
    add_agent(agent);
}

Initialize a population of agents at random positions.

double totalMetric = 0;
int count = 0;
for(Agent agent : get_population()) {
    totalMetric += agent.getMetric();
    count++;
}
double average = totalMetric / count;
System.out.println("Average metric: " + average);

Track average agent metric over simulation time.

for(Agent neighbor : getNeighbors(this, 5)) {
    interactWith(neighbor);
    System.out.println("Interaction with neighbor at " + neighbor.getX() + "," + neighbor.getY());
}

Agents detect neighbors and interact with them.

schedule(() -> {
    System.out.println("Custom action executed at time: " + time());
}, 10);

Schedule a custom action to execute after a delay.