Computation: The Micro and the Macro View
Computation: The Micro and the Macro View
Introduction: DSS: Directions for the next decade
Decision Support Systems - Special issue: Decision support systems: Directions for the next decade
Toward a Multi-agent Modelling Approach for Urban Public Transportation Systems
ESAW '01 Proceedings of the Second International Workshop on Engineering Societies in the Agents World II
DSS for rescheduling of railway services under unplanned events
Decision making support systems
Dynamic modeling of a disturbance in a multi-agent system for traffic regulation
Decision Support Systems
Time scheduling of transit systems with transfer considerations using genetic algorithms
Evolutionary Computation
An Introduction to MultiAgent Systems
An Introduction to MultiAgent Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Decision support system for urban transportation networks
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
An hybrid intelligent approach for real-time traffic control
International Journal of Hybrid Intelligent Systems
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Due to several external and internal disturbances affecting public transportation systems, some regulation measures have to be undertaken. In the regulation process, the regulator has to evaluate a number of possible decisions in order to determine best compromise of some regulation criteria. The complexity of this task increases when numerous disturbances appear simultaneously and mainly when regulation criteria are contradictory. For these reasons, we propose in this paper a multi-agent model that deals with decision evaluation step as a multicriteria optimization problem. In this model, the best compromise is determined by means of the following concepts: Pareto optimality, a-efficiency and plurality voting. The process of the proposed approach is shown through an illustrative example.