This paper aims to determine whether an adaptive agent population performs better than a static population. A static population is evolved on historical equity market data from th...
Abstract. In this paper, different well-known features for image retrieval are quantitatively compared and their correlation is analyzed. We compare the features for two differen...
We study an evolutionary algorithm used for optimizing in a chaotically changing dynamic environment. The corresponding chaotic non–stationary fitness landscape can be character...
Feature selection is very important for many computer vision applications. However, it is hard to find a good measure for the comparison. In this study, feature sets are compared ...
Abstract. In this paper we continue our study on adaptive genetic programming. We use Stepwise Adaptation of Weights (saw) to boost performance of a genetic programming algorithm o...