Niching is an important technique for multimodal optimization. Most existing niching methods require specification of certain niching parameters in order to perform well. These nic...
Abstract- This paper presents an approach of using Differential Evolution (DE) to solve dynamic optimization problems. Careful setting of parameters is necessary for DE algorithms ...
—The 0/1 loss is an important cost function for perceptrons. Nevertheless it cannot be easily minimized by most existing perceptron learning algorithms. In this paper, we propose...
In this paper, we present a method to estimate the number of reconfiguration steps that a time-constrained algorithm can accommodate. This analysis demonstrates how one would attac...
Given a convex polygon P with m vertices and a set S of n points in the plane, we consider the problem of nding a placement of P that contains the maximum number of points in S. W...