Multi-Objective Optimization of Energy Saving and Throughput in Heterogeneous Networks Using Deep Reinforcement Learning.
Kyungho RyuWooseong KimPublished in: Sensors (2021)
Keyphrases
- multi objective optimization
- heterogeneous networks
- energy saving
- reinforcement learning
- multi objective
- energy consumption
- evolutionary algorithm
- power consumption
- wireless sensor networks
- multi objective optimization problems
- genetic algorithm
- energy efficiency
- response time
- learning algorithm
- multiple types
- pareto optimal
- energy efficient
- heterogeneous information networks
- state space
- air conditioning
- multi objective genetic algorithm
- differential evolution
- dynamic programming
- nsga ii
- multiobjective optimization
- multi objective evolutionary algorithms
- social networks
- communication networks
- multi objective genetic algorithms
- machine learning
- optimization algorithm
- particle swarm optimization
- supervised learning
- sensor networks