A Manhattan search algorithm to minimize artificial neural network error function is outlined in this paper. From an existing position in Cartesian coordinate, a search vector moves in orthogonal directions to locate minimum function value. The search algorithm computes optimized step length for...

In this paper we compare the performance of the Differential Evolution (DE) and the Repulsive Particle Swarm (RPS) methods of global optimization. To this end, seventy test functions have been chosen. Among these test functions, some are new while others are well known in the literature; some are...

We demonstrate that shortfall-minimizing portfolio selection based on the Cressie- Read family of divergence measures maps to the HARA family. This means that all HARA utility functions can be interpreted as “endogenous” in the sense described in Stutzer (2003), and that traditional HARA...

In order to fully understand Syrah wine market in Italy both supply and demand need to be studied. While supply is analyzed with the simple (benchmarking) comparison of the descriptive statistics between Syrah Italian wines and other high quality red Italian wines, the demand is studied...