A hybrid optimization algorithm based on K-means++ and Multi-objective Chaotic Ant Swarm Optimization for WSN in pipeline monitoring.
Yandja LalleMaroua AbdelhafidhLamia Chaari FouratiJihene RezguiPublished in: IWCMC (2019)
Keyphrases
- hybrid optimization algorithm
- swarm optimization
- multi objective
- particle swarm optimization
- swarm intelligence
- optimization algorithm
- particle swarm optimization pso
- particle swarm
- k means
- ant colony optimization
- hybrid algorithm
- pso algorithm
- wireless sensor networks
- evolutionary algorithm
- multi objective optimization
- environmental monitoring
- particle swarm optimisation
- genetic algorithm
- differential evolution
- evolutionary computation
- global optimization
- body sensor networks
- monitoring system
- objective function
- particle swarm optimization algorithm
- optimization method
- clustering algorithm
- clustering method
- convergence speed
- evolutionary programming
- inertia weight
- evolutionary computing
- metaheuristic
- ant based clustering
- wireless sensor
- particle swarm optimizer
- test functions
- aco algorithm
- nsga ii
- simulated annealing
- optimisation problems
- sensor networks
- health monitoring
- artificial intelligence
- machine learning
- control parameters