The main objectives of Task Order 4136 are (1) the design of improved freeway on-ramp metering strategies that make use of recent developments in traffic data collection, traffic simulation, and control theory, and (2) the testing of these methods on a 14-mile segment of Interstate 210 Westbound...

One of the most known combinatorial problem is a Travelling Salesman Problem. In this paper a extended version is considered – multisalesman problem, which is known in the literature as a vehicle routing problem. It is very easy to define this NP-hard problem, but to find a optimal solution is...

En estimation bayésienne, lorsque le calcul explicite de la loi a posteriori du vecteur des paramètres à estimer est impossible, les méthodes de Monte-Carlo par chaînes de Markov (MCMC) [Robert and Casella, 1999] permettent théoriquement de fournir un échantillon approximativement...

We present a clusterwise regression model to analyse alumni contributions to a private, PhD-granting university in the Midwestern USA. The model provides a framework to simultaneously segment a population, and to explain the effect of various factors on the mean annual value of donations. We...

Assuming that bidders wish to acquire at most one item, this paper defines a polynomial time multiitem auction that locates the VCG prices in a finite number of iterations for any given starting prices. This auction is called the Vickrey-English-Dutch auction and it contains the Vickrey-English...

The evolutionary design of time series forecasters is a field that has been explored for several years now. In this paper, a complete design and training of ARMA (Auto-Regressive Moving Average) and ANN (Artificial Neural Networks) models through the use of Evolutionary Computation is presented....