An improved dynamic deployment technique based-on genetic algorithm (IDDT-GA) for maximizing coverage in wireless sensor networks.
Hanaa ZainEldinMahmoud Mohammed BadawyMostafa A. El-HosseiniHesham ArafatAjith AbrahamPublished in: J. Ambient Intell. Humaniz. Comput. (2020)
Keyphrases
- genetic algorithm
- wireless sensor networks
- genetic algorithm ga
- fitness function
- multi objective
- genetic operators
- hybrid ga
- genetic programming
- evolutionary computation
- crossover operator
- artificial neural networks
- evolutionary algorithm
- hybrid genetic algorithm
- metaheuristic
- population size
- data aggregation
- neural network
- energy consumption
- crossover and mutation
- energy efficient
- optimization method
- particle swarm optimization
- simulated annealing
- fuzzy logic
- energy efficiency
- genetic algorithm to solve
- partner selection
- tabu search
- parallel genetic algorithm
- immune genetic algorithm
- biological inspired
- evolution strategy
- mutation operator
- differential evolution
- data streams