A Hybrid Simulation System Based on Particle Swarm Optimization and Distributed Genetic Algorithm for WMNs: Performance Evaluation Considering Normal and Uniform Distribution of Mesh Clients.
Admir BarolliShinji SakamotoLeonard BarolliMakoto TakizawaPublished in: NBiS (2018)
Keyphrases
- uniform distribution
- particle swarm optimization
- genetic algorithm
- routing protocol
- pac learning
- multi objective
- mobile ad hoc networks
- uniformly distributed
- boolean functions
- pso algorithm
- differential evolution
- wireless mesh networks
- membership queries
- monotone boolean functions
- agnostic learning
- evolutionary algorithm
- mobile agents
- remains np hard
- dnf formulas
- web services
- peer to peer
- metaheuristic
- lower bound
- multi hop
- fuzzy logic
- response time
- routing algorithm
- neural network
- random samples
- end to end