Multiobjective Reinforcement Learning-Based Intelligent Approach for Optimization of Activation Rules in Automatic Generation Control.
Huaizhi WangZhenxing LeiXian ZhangJianchun PengHui JiangPublished in: IEEE Access (2019)
Keyphrases
- multi objective
- reinforcement learning
- optimization algorithm
- multiobjective optimization
- multiple objectives
- control problems
- evolutionary algorithm
- uniform design
- conflicting objectives
- optimal control
- optimum design
- robot control
- multi objective optimization
- genetic algorithm
- evolutionary multiobjective
- learning classifier systems
- function approximation
- association rules
- bi objective
- robotic control
- objective function
- adaptive control
- control policy
- intelligent control
- optimization method
- machine learning
- control rules
- dynamic programming
- multi objective evolutionary algorithms
- optimization problems
- control strategies
- control parameters
- nsga ii
- markov decision processes
- mobile robot
- state space
- action selection
- intelligent systems
- control method