International forum of researchers Students and Academician
Swarm Intelligence (SI) is based on collective behavior of self-organized system. Typical swarm intelligence includes Particle Swarm Optimization (PSO), Ant Colony System (ACS) and Artificial Bee Colony (ABC) and so on. Besides the applications to conventional optimization problem swarm intelligence can be used in controlling robots, predicting social behaviors, enhancing the telecommunication and computer network etc. swarm intelligence can be applied in variety of fields in engineering and social sciences. In this paper, the authors focus on some popular swarm intelligence algorithms such as ant colony system, pointing out their concepts and proposing of some enhancement of the algorithm for optimization's problem; the overview of algorithm and experiments of Ant Colony Optimization (ACO) is given.