Fitness function improvement of evolutionary algorithms used in sensor network optimisations.
Atiieh HoseinpourMojtaba Jafari LahijaniMohammad HoseinpourJavad KazemitabarPublished in: IET Networks (2018)
Keyphrases
- fitness function
- sensor networks
- evolutionary algorithm
- evolutionary computation
- genetic algorithm ga
- multi objective
- genetic programming
- wireless sensor networks
- optimization problems
- sensor data
- environmental monitoring
- multi objective optimization
- genetic algorithm
- genetic operators
- sensor nodes
- differential evolution
- base station
- resource constrained
- communication cost
- crossover operator
- data streams
- energy consumption
- simulated annealing
- underwater acoustic
- initial population
- energy efficient
- mobile sensor networks
- particle swarm
- evolutionary search
- multiple objectives
- evolution strategy
- evolutionary process
- data aggregation
- nsga ii
- energy efficiency
- differential evolution algorithm
- constrained optimization problems
- sensor web
- search space
- binary particle swarm optimization
- heterogeneous sensor networks
- data transmission
- combinatorial optimization
- routing protocol
- evolutionary strategy
- wireless sensor
- particle swarm optimization
- computational intelligence
- artificial neural networks
- visual sensor networks