11 documents found, page 1 of 2

MobiWise: eco-routing decision support leveraging the internet of things

Eco-routing distributes traffic in cities to improve mobility sustainability. The implementation of eco-routing in real-life requires a diverse set of information, including different kinds of sensors. These sensors are often already integrated in city infrastructure, some are technologically outdated, and are often operated by multiple entities. In this work, we provide a use case-oriented system design for an...

MobiWise: Eco-routing decision support leveraging the Internet of things

Eco-routing distributes traffic in cities to improve mobility sustainability. The implementation of eco-routing in real-life requires a diverse set of information, including different kinds of sensors. These sensors are often already integrated in city infrastructure, some are technologically outdated, and are often operated by multiple entities. In this work, we provide a use case-oriented system design for an...

Methodology to select solutions for multiobjective optimization problems: Weigh...

The weighted stress function method is proposed here as a new way of identifying the best solution from a set of nondominated solutions according to the decision maker's preferences, expressed in terms of weights. The method was tested using several benchmark problems from the literature, and the results obtained were compared with those of other methods, namely, the reference point evolutionary multiobjective ...

Penalized likelihood and multi-objective spatial scans for the detection and in...

Background: Irregularly shaped spatial clusters are difficult to delineate. A cluster found by an algorithm often spreads through large portions of the map, impacting its geographical meaning. Penalized likelihood methods for Kulldorff’s spatial scan statistics have been used to control the excessive freedom of the shape of clusters. Penalty functions based on cluster geometry and non-connectivity have been pro...

Penalized likelihood and multi-objective spatial scans for the detection and in...

Background: Irregularly shape d spatial clusters are difficult to delineate. A cluster found by an algorithm often spreads through large portions of the map, impacting its geographical meaning. Penalized likelihood methods for Kulldorff’ s spatial scan statistics have been used to control the excessive freedom of the shape of clusters . Penalty functions based on cluster geometry and non-connectivity have been ...

Experimental evaluation of some preference parametrization schemes

Extending optimization algorithms to complex engineering problems

Penalized likelihood and multi-objective spatial scans for the detection and in...

Background: Irregularly shaped spatial clusters are difficult to delineate. A cluster found by an algorithm often spreads through large portions of the map, impacting its geographical meaning. Penalized likelihood methods for Kulldorff's spatial scan statistics have been used to control the excessive freedom of the shape of clusters. Penalty functions based on cluster geometry and non-connectivity have been pro...

Assessing the quality of the relation between scalarizing function parameters a...

Different Multi-Objective Optimization Methods (MOOM) for solving Multi-Objective Optimization Problems (MOOP) have been suggested in the literature. These methods often comprise two stages (not necessarily sequential): i) the search for the Pareto-optimal set and ii) the selection of a single solution from this non-dominated set. Various studies comparing performance of particular aspects of these methods have...

Selection of solutions in a multi-objective environment: polymer extrusion a ca...

A new methodology, based on a weight Stress Function Approach, to select the best solution (or set of solutions) from a Pareto frontier taking into account the preferences of the Decision Maker (DM), was proposed. This methodology is able to define the best region of the Pareto frontier from a weight vector defined by the DM. This methodology was tested in several benchmark problems from the literature and was ...