Stochastic Diffusion Search (SDS), a multi-agent population-based global search and optimization algorithm, is a distributed mode of computation utilizing interaction between simple agents. SDS shows off a strong mathematical framework. It is robust, has minimal convergence criteria and linear time complexity. SDS has been applied to diverse problems such as text search, object recognition, feature Continue Reading..