Introduction to Galactic Swarm Optimization



Galactic Swarm Optimization (GSO) is a metaheuristic algorithm inspired by the behavior of space swarms. It combines gravitational force and swarm intelligence concepts to solve optimization problems in various fields. 

GSO has been proven effective in solving optimization problems involving high-dimensional search spaces, non-linear relationships, and unsupervised classification problems. By utilizing collective intelligence and decentralized decision-making, GSO can efficiently explore the solution space and converge towards the global optimum. This makes it an important tool for addressing real-world problems in fields such as engineering, finance, and logistics. 

In this video, we will delve deeper into the principles behind GSO and explore its applications in various domains.

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