particle swarm optimization

Particle Swarm Optimization (PSO) is a computational method inspired by the social behavior of birds or fish. In this technique, a group of potential solutions, called "particles," explore a problem space collectively. Each particle adjusts its position based on its own experiences and the successes of neighboring particles, gradually converging towards the best solution. PSO is effective for optimizing complex problems, as it balances exploration (searching new areas) and exploitation (refining known solutions), making it a powerful tool in fields like engineering, finance, and artificial intelligence.