Multi-objective Evolutionary Algorithm for Speed Tuning Optimization with Energy Saving in Railway: Application and Case Study

Abstract : In this paper an approach is proposed for optimization of speed profiles in railway integrating energy saving. This approach deals with a multi-objective problem involving three criteria: reduction of the travel duration, reduction of the delays and minimization of the energy consumption. Based on a state of the art evolutionary algorithm, the proposed approach searches for diversified solutions in a continuous search space. These solutions are evaluated and compared according to the Pareto approach in such a way that the proposed solutions are different and incomparable, in order to help the decision makers. After having reminded railway dynamics elements, the approach is detailed as well as the evolutionary algorithm and its problem-related components. Two case studies (the Gonesse junction and the line Saint- ´ Etienne – Rive de Giers in France) and results are then provided and analyzed.
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Communication dans un congrès
RailRome 2011, 2011, Rome, Italy. 2011
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Dernière modification le : samedi 12 mars 2011 - 20:30:30

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Rémy Chevrier, Grégory Marlière, Bogdan Vulturescu, Joaquin Rodriguez. Multi-objective Evolutionary Algorithm for Speed Tuning Optimization with Energy Saving in Railway: Application and Case Study. RailRome 2011, 2011, Rome, Italy. 2011. 〈inria-00576025〉

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