An Oriented Convergent Mutation Operator for Solving a Scalable Convergent Demand Responsive Transport Problem

This paper presents a method for solving the convergence demand responsive transport problem, by using a stochastic approach based on a steady state genetic algorithm for enumerating a set of optimizing sprawling spanning trees, which constitute the best solutions to this problem. Specifically desig...

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Bibliographische Detailangaben

Hauptverfasser:	Chevrier, R., Canalda, P., Chatonnay, P., Josselin, D.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Computer science Convergent Mutation Operator Demand-Responsive Transport Genetic Algorithm Genetic algorithms Genetic mutations Geography Operating systems Quality of service Real-Time Scalability Stochastic processes Transportation Vehicle driving
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