—Inspired by the contours in topography, this paper proposes a contour method for the population-based stochastic algorithms to solve the problems with continuous variables. Rely...
Although modern control theories have been successfully applied to solve a variety of problems, they are often mathematically and physically too specific to describe and analyze t...
Differential evolution (DE) is well known as a simple and efficient scheme for global optimization over continuous spaces. In this paper we present two new, improved variants of D...
: A central characteristic of ad hoc mobile networks is the frequent changes of their topology. This is the source of many problems that need to be solved. AODV is an on-demand rou...
We consider regularized stochastic learning and online optimization problems, where the objective function is the sum of two convex terms: one is the loss function of the learning...