In recent years, the cross-entropy method has been successfully applied to a wide range of discrete optimization tasks. In this paper we consider the cross-entropy method in the context of continuous optimization. We demonstrate the effectiveness of the cross-entropy method for solving difficult continuous multi-extremal optimization problems, including those with nonlinear constraints.

We propose a moving edge extraction method using the concept of entropy and cross-entropy, in which the crossentropy concept is applied to dynamic scene analysis. The cross-entropy concept provides enhancement of detection for the dynamically changed area. We combine the results of cross-entropy in the difference picture (DP) with those of entropy in the current frame so that we can effectively...

Most neural optimization algorithms use either gradient tuning methods or complicated recurrent dynamics that may lead to suboptimal solutions or require huge number of iterations. Here we propose a framework based on the cross-entropy method (CEM). CEM is an efficient global optimization technique, but it requires batch access to many samples. We transcribed CEM to an online form and demonstra...

This paper proposes a novel method for assessing the predictability of energy market time series, by predicting the entropy of the series. According to conventional entropy-based analysis (where the entropy is always ex-post estimated), high entropy values characterize unpredictable series, while more stable series exhibits lesser entropy values. Here, we predict ex-ante the entropy regarding t...

In physics,heat energy divided by temperature ,entropyis obtained, which means the conversion degree from heat to work. While in science and technology field, entropy generally refers to possible degree of certain matter system status. In social science area, entropy indicates the degree of certain society state, in the field of information theory, entropy expresses uncertain degree. In a word,...

We investigate the use of the new Cross Entropy method as a tool for exploratory data analysis. We show how this method can be used to perform linear projections such as principal component analysis, exploratory projection pursuit and canonical correlation analysis. We further go on to show how topology preserving mappings can be created usin the cross entropy method. We also show how the cross...

an enterprise resource planning (erp) software is needed for industries and companies that want to develop in future. many of the manufactures and companies have a problem with erp software selection. an inappropriate selection process can affect both the implementation and the performance of the company significantly. although several models are proposed to solve this problem many of them did n...

In a recent paper appearing in this journal, Coutsikos et al. [1] presented a group contribution method for estimating vapor pressures of organic solids. The estimation required the compound’s molar entropy of fusion, fusSm, which was also calculated by a group contribution method developed by the authors. The proposed method gave satisfactory vapor pressure predictions for many organic compoun...