Multi-swarm optimization

Imagine you and a group of friends are trying to find a treasure in a big park. Instead of all going in one direction, you split up into smaller groups called "swarms" and each one looks for the treasure in a different area.

In multi-swarm optimization, we use the same idea but with computer programs called "algorithms" to find the best or optimal solution to a problem.

The problem could be anything like finding the shortest route to get to school, the best design for a car, or the optimal placement of wind turbines.

Just like you and your friends in the park, the computer program creates multiple "swarms" of solutions to try and find the best one. Each swarm uses a different method to search for the solution.

Then, the program combines the best solutions from each swarm and creates new solutions based on those. This process continues until the program finds the best solution possible.

Basically, multi-swarm optimization is a way for computer programs to work together like a group of friends to find the best solution to a problem.