🧪 Artificial Intelligence Swarm Intelligence Simulation – Adjustable Inertia

This simulation allows you to observe and manipulate the behavior of a virtual swarm of agents, demonstrating principles of swarm intelligence like decentralized decision-making and emergent patterns. By adjusting parameters such as attraction, repulsion, and communication range, you can see how these factors influence the swarm's collective movement and problem-solving abilities. A control drives the inertia weight w in the PSO formula, previously hardcoded. Adds a control for the PSO inertia weight w, previously hardcoded.