ARIMA Time Series Models for Full Truckload Transportation Prices

A hybrid ACO algorithm for the Full Truckload Transportation Problem

In this paper we propose a hybrid ACO approach to solve a full truckload transportation problem. Hybridization is achieved through the use of a problem specific heuristic. This heuristic is utilized both, to initialize the pheromone information and to construct solutions in the ACO procedure. The main idea is to use information about the required fleetsize, by initializing the system with a num...

Short-Term Forecasting with ARIMA Time Series Models

Online ARIMA Algorithms for Time Series Prediction

Autoregressive integrated moving average (ARIMA) is one of the most popular linear models for time series forecasting due to its nice statistical properties and great flexibility. However, its parameters are estimated in a batch manner and its noise terms are often assumed to be strictly bounded, which restricts its applications and makes it inefficient for handling large-scale real data. In th...

improving the hybrid anns/arima models with probabilistic neural networks (pnns) for time series forecasting

time series forecasting is an active research area that has drawn considerable attention for applications in a variety of areas. forecasting accuracy is one of the most important features of forecasting models. nowadays, despite the numerous time series forecasting models which have been proposed in several past decades, it is widely recognized that financial markets are extremely difficult to ...

Sequential Auctions for Full Truckload Allocation