Swarm intelligence is an area of artificial intelligence that studies the collective behavior of decentralized, self-organized systems. Inspired by the social behavior of natural organisms, such as flocks of birds, schools of fish, and ant colonies, swarm intelligence algorithms solve complex optimization problems through the interactions of simple agents. These agents follow simple rules and communicate locally, leading to emergent behavior that produces efficient solutions. Popular swarm intelligence algorithms include Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO). Applications of swarm intelligence can be found in various fields, including robotics, logistics, and network optimization, providing innovative solutions to challenging problems.