Automated design of fuzzy rule base using ant colony optimization for improving the performance in Wireless Sensor Networks.
José V. V. SobralRicardo A. L. RabêloHarilton da S. AraujoRodrigo A. R. S. BaluzRaimir Holanda FilhoPublished in: FUZZ-IEEE (2013)
Keyphrases
- classification rules
- ant colony optimization
- fuzzy rules
- rule base
- automated design
- wireless sensor networks
- membership functions
- rule sets
- fuzzy systems
- fuzzy sets
- fuzzy logic
- linguistic rules
- metaheuristic
- evolutionary design
- ant colony
- swarm intelligence
- fuzzy model
- traveling salesman problem
- fuzzy controller
- engineering design
- nature inspired
- fuzzy rule based systems
- aco algorithm
- ant colony optimization algorithm
- ant colony algorithm
- fuzzy logic controller
- genetic algorithm
- particle swarm optimization
- artificial ants
- fuzzy rule bases
- security protocols
- ant colonies
- energy consumption
- particle swarm optimization pso
- aco algorithms
- sensor networks
- evolutionary computation
- routing algorithm
- real time
- neural network
- computational intelligence
- decision making
- path relinking
- mechanism design
- resource constrained
- global optimization
- rough sets
- evolutionary algorithm
- knowledge base
- artificial intelligence
- machine learning