Exploring the Potential of Swarm Intelligence in Optimization Problems

Abstract:

Optimization problems have long been a focal point in various domains, including computer science, operations research, and engineering. Traditional optimization techniques often struggle to find the global optima efficiently, especially in complex and dynamic problem spaces. Swarm Intelligence (SI) is a relatively new and promising approach that draws inspiration from social behaviors observed in nature. This article explores the potential of SI in solving optimization problems, discussing its underlying concepts, algorithms, and applications. Additionally, it highlights the advantages and challenges of using SI, comparing it with traditional optimization methods.