This paper examines a multi-period capacity expansion problem for rapid transit network design. The capacity expansion is realized through the location of train alignments and stations in an urban traffic context by selecting the time periods. The model maximizes the public transportation demand using a limited budget and designing lines for each period. The location problem incorporates the us...

The relevant literature on machining operations selection in Computer-Aided Process Planning (CAPP) by decision trees, expert systems and neural networks has been reviewed, highlighting their contributions and shortcomings. This paper aims at contributing to the applicability of back-propagation neural network method for the selection of all possible operations for machining rotationally symmet...

In part due to the increasing demand for citizen participation in public decision processes, participatory budgets are becoming increasingly popular in many municipalities. As there is little methodology available for this type of activities and Information Technologies are scarcely used in them, we describe a prototype of a web-based decision support tool for participatory budget problems. We ...

In the face of budgetary limitations in organizations, identifying critical facilities for investing in quality improvement plans could be a sensible approach. In this paper, hierarchical facilities with specified covering radius are considered. If disruption happens to a facility, its covering radius will be decreased. For this problem, a bi-objective mathematical formulation is proposed. Crit...

The Dynamic Energy Budget (DEB) theory has become a fundamental tool in modeling the metabolic behaviour of organisms. Its capacity to describe the biological aspect of life alone justifies its applicability in Artificial Life. Aware of this potential, the DEB research group in Instituto Superior Técnico (IST) in Lisbon has joined the videogame company Biodroid Entertainment in the Life Engine ...

Motivated by the emergence of popular service-based two-sided markets where sellers can serve multiple buyers at same time, we formulate and study cost sharing problem. In sharing, incur different costs for serving subsets have values being served sellers. Both are self-interested agents whose private information. We problem from perspective an intermediary platform that matches to assigns pric...

monthly and annual water and phosphorus mass budgets were set up over the year 2010 for thelake rio verde, brazil. limited data for the water budget was compensated using an interpolation methodwith data water budget data of a nearby reservoir. thus, errors of ca. 1.5% were estimated for the waterbudgets. dominant p mass input terms were inflows from the rivers and direct run off into the reser...

E pidemiology is the study and analysis of distribution and determinants of health-related conditions or events including diseases, and the practice of this study to the control of diseases and other health problems (1). One of the basic issues in epidemiology and the beginning of a research project is conducting a suitable design for our study (2). The aim of this study is to brief e...

In this paper, a reliability approach on reconfiguration decisions in a supply chain network is studied based on coupling the simulation concepts and artificial neural network. In other words, due to the limited budget for warehouse relocation in a supply chain, the failure probability is assessed for determining the robust decision for future supply chain configuration. Traditional solving ...