A theoretical aspect of a stochastic sketching method for global optimization
In this paper, we propose Stochastic Sketching method for global optimization based on the simulation of human behavior. Stochastic Sketching models the thought process and strategies of human beings and applying the artificial model to problems. We introduce and discuss concepts and components essential to Stochastic Sketching in detail, including the sampling guide, zooming controller, sketching model, precision threshold, and satisfaction probability. The mathematical foundations of Stochastic Sketching are discussed and a preliminary theoretical base is presented.
global optimization unconstrained optimization pincus theorem evolutionary computation evolution strategies genetic algorithms