Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms and Manufacturing Systems Design
Genetic Algorithms and Manufacturing Systems Design
A QoS Routing Method for Ad-Hoc Networks Based on Genetic Algorithm
DEXA '03 Proceedings of the 14th International Workshop on Database and Expert Systems Applications
A Fuzzy Integral and Microeconomics Based QoS Multicast Routing Scheme in NGI
CIT '06 Proceedings of the Sixth IEEE International Conference on Computer and Information Technology
Uncertain Parameters for Multicast Routing Based on a Fuzzy Number Genetic Algorithm
ISDA '06 Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications - Volume 01
A near-optimal multicast scheme for mobile ad hoc networks using a hybrid genetic algorithm
Expert Systems with Applications: An International Journal
Genetic local search for multicast routing with pre-processing by logarithmic simulated annealing
Computers and Operations Research
A Novel Genetic Algorithm and Its Application in TSP
NPC '08 Proceedings of the 2008 IFIP International Conference on Network and Parallel Computing
MOEAQ: A QoS-Aware Multicast Routing algorithm for MANET
Expert Systems with Applications: An International Journal
Genetic algorithm for delay- and degree-constrained multimedia broadcasting on overlay networks
Computer Communications
IEEE Transactions on Wireless Communications
A genetic algorithm for shortest path routing problem and the sizing of populations
IEEE Transactions on Evolutionary Computation
QoS routing based on genetic algorithm
Computer Communications
Quality-of-service routing for supporting multimedia applications
IEEE Journal on Selected Areas in Communications
A genetic algorithm for finding a path subject to two constraints
Applied Soft Computing
Improved heuristics for multicast routing in wireless mesh networks
Wireless Networks
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A wireless MANET is a collection of wireless mobile hosts that dynamically create a temporary network without a fixed infrastructure. The topology of the network may change unpredictably and frequently. Therefore, multicast routing in ad hoc networks is a very challenging problem. This paper proposes a multi-constrained QoS multicast routing method using the genetic algorithm. The proposal will be flooding-limited using the available resources and minimum computation time in a dynamic environment. By selecting the appropriate values for parameters such as crossover, mutation, and population size, the genetic algorithm improves and tries to optimize the routes. Simulation results indicate its better performances compared to other methods.