Machine-Learning-Based Parallel Genetic Algorithms for Multi-Objective Optimization in Ultra-Reliable Low-Latency WSNs.
Yuchao ChangXiaobing YuanBaoqing LiDusit NiyatoNaofal Al-DhahirPublished in: IEEE Access (2019)
Keyphrases
- multi objective optimization
- low latency
- parallel genetic algorithms
- machine learning
- high speed
- multi objective
- evolutionary algorithm
- wireless sensor networks
- island model
- high throughput
- genetic algorithm
- highly efficient
- differential evolution
- multi objective optimization problems
- real time
- energy consumption
- cost effective
- virtual machine
- sensor networks
- parallel genetic algorithm
- stream processing
- particle swarm optimization
- nsga ii
- mobile nodes
- response time
- artificial neural networks
- optimization algorithm
- sensor nodes
- optimization problems
- multi objective evolutionary algorithms
- simulated annealing
- data acquisition
- routing protocol