Topic: Overview of Swarm Intelligence

Swarm intelligence (SI) is based on collective behavior of self-organized systems. Typical swarm intelligence schemes include particle swarm optimization (PSO), ant colony system (ACS), stochastic diffusion search (SDS), bacteria foraging (BF), the bees algorithm, swarm robotics, etc. Besides the applications to conventional optimization problems, SI can be used in controlling robots and unmanned vehicles, predicting social behaviors, enhancing the telecommunication and computer networks, etc. Indeed, the use of swarm optimization can be applied to a variety of fields in engineering and social sciences.  This talk reviews some popular algorithms in the field of swarm intelligence for problems of optimization. The detail overview and experiments of Particle and Cat Swarm Optimization, Ant Colony System (ACS) and Artificial Bee Colony are given.