Heterogeneous wireless sensor network (WSN) installation using novel genetic operators in a multiobjective optimization evolutionary algorithm.
Teerawat KumraiPaskorn ChamprasertRungrote KuawattanaphanPublished in: ICNC (2013)
Keyphrases
- evolutionary algorithm
- genetic operators
- multiobjective optimization
- wireless sensor networks
- multi objective
- nsga ii
- fitness function
- sensor networks
- multi objective optimization
- evolutionary computation
- optimization algorithm
- optimization problems
- energy efficient
- energy consumption
- mutation operator
- differential evolution
- genetic algorithm
- multiobjective evolutionary algorithm
- crossover and mutation
- multiple objectives
- sensor nodes
- heterogeneous wireless sensor networks
- multiobjective evolutionary algorithms
- particle swarm optimization
- resource limitations
- simulated annealing
- swarm intelligence
- min max
- crossover operator
- evolution strategy
- genetic programming
- pareto optimal
- multi objective optimization problems
- routing protocol
- initial population
- genetic algorithm ga
- computational intelligence