The design and analysis of a computational model of cooperative coevolution
The design and analysis of a computational model of cooperative coevolution
A Cooperative Coevolutionary Approach to Function Optimization
PPSN III Proceedings of the International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature: Parallel Problem Solving from Nature
An evaluation of inter-vehicle ad hoc networks based on realistic vehicular traces
Proceedings of the 7th ACM international symposium on Mobile ad hoc networking and computing
Cellular Genetic Algorithms
A vehicular mobility model based on real traffic counting data
Nets4Cars/Nets4Trains'11 Proceedings of the Third international conference on Communication technologies for vehicles
Sensitivity analysis for a realistic vehicular mobility model
Proceedings of the first ACM international symposium on Design and analysis of intelligent vehicular networks and applications
Generation of realistic traces for vehicular mobility simulations
Proceedings of the second ACM international symposium on Design and analysis of intelligent vehicular networks and applications
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A key factor for accurate vehicular ad hoc networks (VANET) simulation is the quality of its underlying mobility model. VehILux is a recent vehicular mobility model that generates traces using traffic volume counts and real-world map data. This model uses probabilistic attraction points which values require optimization to provide realistic traces. Previous sensitivity analysis and application of genetic algorithms (GAs) on the Luxembourg problem instance have outlined this model's limitations. In this article, we first propose an extension of the model using a higher number of auto-generated attraction points. Then its decomposition on the Luxembourg instance using geographical information is proposed as a way to break epistatic links and hence make its optimization using cooperative coevolutionary genetic algorithms (CCGAs) more efficient. Experimental results demonstrate the significant realism increase brought by both the VehILux model enhancements and the CCGA compared to the generational and cellular GAs.