Genetic Algorithms and Simulated Annealing optimization methods in wireless sensor networks localization using artificial neural networks.
Stephan H. ChagasJoao B. S. MartinsLeonardo L. de OliveiraPublished in: MWSCAS (2012)
Keyphrases
- optimization methods
- using artificial neural networks
- simulated annealing
- wireless sensor networks
- genetic algorithm
- source localization
- artificial neural networks
- optimization method
- metaheuristic
- tabu search
- evolutionary algorithm
- energy consumption
- energy efficient
- sensor nodes
- optimization approaches
- global convergence
- sensor networks
- neural network model
- global optimum
- genetic algorithm ga
- hybrid algorithm
- evolution strategy
- routing protocol
- unconstrained optimization
- combinatorial optimization
- stochastic methods
- routing algorithm
- global search
- particle swarm
- finite element analysis
- trust region
- continuous optimization
- inverse problems
- quasi newton
- fitness function
- base station
- direct optimization
- gradient method
- convex relaxation
- genetic programming
- mutation operator