Paper Title
AGENT-BASED SIMULATION OF DRONE SWARM BEHAVIOR FOR PYROTECHNIC DISPLAYS USING COMPUTATIONAL INTELLIGENCE TECHNIQUES

Abstract
This paper presents an agent-based simulation model aimed at replicating the autonomous and coordinated behavior of drone swarms in virtual pyrotechnic displays. The system was developed using the Net Logo platform, chosen for its flexibility in modeling complex interactions between agents in dynamic environments. Each drone in the simulation is characterized by individual properties such as battery capacity, flight height, and brand-based performance variability, allowing for a realistic and diverse representation of drone capabilities.The simulation enables the generation of between 30 and 100 drones, which are deployed from fixed starting points and assigned tasks based on user-defined visual patterns. Through a drawing interface, users can define the intended figure or trajectory, and drones interpret this pattern by navigating toward designated target patches. During their movement, drones consume energy per step, avoid collisions by adjusting their altitude, and maintain spatial coordination with other drones in the swarm. Upon completing the visual display, drones autonomously return to their origin points, ensuring safe recovery. The model accounts for limitations such as energy depletion and spatial constraints, reinforcing the complexity of swarm coordination under real-world-like conditions. Simulation results demonstrate that the system successfully emulates swarm intelligence principles and can serve as a tool for planning drone-based entertainment displays, where synchronization, safety, and energy efficiency are critical. This work contributes to the field of computational intelligence and agent-based modeling by showcasing a practical application in entertainment technology, and it highlights the potential of autonomous systems in managing coordinated tasks in real-time scenarios. Keywords - Agent-Based Modeling, Drone Swarm Simulation, Computational Intelligence, Autonomous Systems.