Implementing the Particle Swarm Optimization (PSO) Algorithm in Python

There are lots of definitions of AI. According to the Merrian-Webster dictionary, Artificial Intelligence is a large area of computer science that simulates intelligent behavior in computers. Based on this, an algorithm implementation based on metaheuristic called Particle Swarm Optimization (originaly proposed to simulate birds searching for food, the movement of fishes' shoal, etc.) is able to simulate behaviors of swarms in order to optimize a numeric problem iteratively. It can be classified as a swarm intelligence algorithm like Ant Colony Algorithm, Artificial Bee Colony Algorithm and Bacterial Foraging, for example. Proposed in 1995 by J. Kennedy an R.Eberhart, the article "Particle Swarm Optimization" became very popular due his continue optimization process allowing variations to multi targets and more.