Sequential quadratic programming for large-scale nonlinear optimization
Journal of Computational and Applied Mathematics - Special issue on numerical analysis 2000 Vol. IV: optimization and nonlinear equations
Dynamic probabilistic broadcasting in MANETs
Journal of Parallel and Distributed Computing
Impact of radio propagation models in vehicular ad hoc networks simulations
Proceedings of the 3rd international workshop on Vehicular ad hoc networks
Analysis of MPR Selection in the OLSR Protocol
AINAW '07 Proceedings of the 21st International Conference on Advanced Information Networking and Applications Workshops - Volume 02
A self-adaptive multiagent evolutionary algorithm for electrical machine design
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Dynamic Probabilistic Flooding Performance Evaluation of On-Demand Routing Protocols in MANETs
CISIS '08 Proceedings of the 2008 International Conference on Complex, Intelligent and Software Intensive Systems
New adaptive counter based broadcast using neighborhood information in MANETS
IPDPS '09 Proceedings of the 2009 IEEE International Symposium on Parallel&Distributed Processing
Performance Evaluation Based on Simulation of Improving Dynamic Probabilistic Flooding in MANETs
WAINA '09 Proceedings of the 2009 International Conference on Advanced Information Networking and Applications Workshops
ParadisEO-MOEO: a framework for evolutionary multi-objective optimization
EMO'07 Proceedings of the 4th international conference on Evolutionary multi-criterion optimization
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
Editorial: Control and optimization over wireless networks
Journal of Network and Computer Applications
Multi-Pareto-Ranking evolutionary algorithm
EvoCOP'12 Proceedings of the 12th European conference on Evolutionary Computation in Combinatorial Optimization
Adaptive multi-objective genetic algorithm using multi-pareto-ranking
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Journal of Network and Computer Applications
Journal of Network and Computer Applications
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A mobile ad hoc network (MANET) is a collection of mobile nodes communicating through wireless connections without any prior network infrastructure. In such a network the broadcasting methods are widely used for sending safety messages and routing information. To transmit a broadcast message effectively in a wide and high mobility MANET (for instance in vehicular ad hoc network) is a hard task to achieve. An efficient communication algorithm must take into account several aspects like the neighborhood density, the size and shape of the network, the use of the channel. Probabilistic strategies are often used because they do not involve additional latency. Some solutions have been proposed to make their parameters vary dynamically. For instance, the retransmission probability increases when the number of neighbors decreases. But, the authors do not optimize parameters for various environments. This article aims at determining the best communication strategies for each node according to its neighborhood density. It describes a tool combining a network simulator (ns-2) and an evolutionary algorithm (EA). Five types of context are considered. For each of them, we tackle the best behavior for each node to determine the right input parameters. The proposed EA is first compared to three EAs found in the literature: two well-known EAs (NSGA-II and SPEA2) and a more recent one (DECMOSA-SQP). Then, it is applied to the MANET broadcasting problem.