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This article describes the application of a multiobjective evolutionary algorithm for locating roadside infrastructure for vehicular communication networks over realistic urban areas. A multiobjective formulation of the problem is introduced, considering quality‐of‐service and cost objectives. The experimental analysis is performed over a real map of Málaga, using real traffic information and antennas,...
In this paper, we study the problem of vehicle scheduling in urban public transport systems taking into account the vehicle-type (different capacity and operating cost) known as VTSP. It is modeled as a multiobjective optimization problem (MOP). We propose a heuristic based on MOCell (Multi-Objective Cellular evolutionary algorithm) to solve the problem considering restrictions of government agencies...
We study the problem of vehicle scheduling in urban public transport systems taking into account the vehicle-type and size (VTSP). It is modeled as a multiobjective combinatorial optimization problem. A heuristic based on MOCell (Multi-Objective Cellular evolutionary algorithm) is proposed to solve the problem. A set of non-dominated solutions represents different assignments of vehicles to specific...
This article describes the application of a computational intelligence technique for locating roadside infrastructure for vehicular networks over realistic urban areas. A multi-objective formulation of the problem is introduced, considering the deployment cost, and a new model for quality-of-service is defined, accounting for both the traffic (number of vehicles and speed) and the coverage of street...
This article presents the application of evolutionary algorithms for solving the problem of distributing a group of passengers travelling from the same origin to different destinations in several taxis, with the goal of minimizing the total cost of the trips. The experimental analysis compares the quality of the solutions found using the proposed algorithm versus those computed using an intuitive...
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