An updated survey of GA-based multiobjective optimization techniques
ACM Computing Surveys (CSUR)
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic-Fuzzy Systems for Financial Decision Making
Selected papers from the IEEE/Nagoya-University World Wisepersons Workshop on Advances in Fuzzy Logic, Neural Networks and Genetic Algorithms,
Multiobjective Metaheuristics for the Bus Driver Scheduling Problem
Transportation Science
Decision support system for urban transportation networks
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Unsatisfying functions and multiobjective fuzzy satisfaction design using genetic algorithms
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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The current paper deals with the real-time regulation of an urban collective transport disrupted network, which is a very difficult problem, especially in the case of simultaneous disturbances (breakdowns, strikes, demonstrations, etc.). Indeed, regulators or decision makers have to carry out difficult tasks, which involves the assistance of a decision support system (DSS). The current paper presents the main part of this DSS, i.e. a regulation strategy generator and evaluator. Thus, a new hybrid approach is proposed using a fuzzy logic and evolutionary algorithm. It treats the regulation problem as an optimization one and provides the regulator with classified effective decisions by taking into account his/her preferences.