Multi-Objective Reactive Power Optimization Based on Improved Particle Swarm Optimization With ε-Greedy Strategy and Pareto Archive Algorithm.
Xiaofei LiuPei ZhangHui FangYinglu ZhouPublished in: IEEE Access (2021)
Keyphrases
- multi objective
- optimization algorithm
- greedy strategy
- particle swarm optimization
- improved particle swarm optimization
- dynamic programming
- hybrid algorithm
- computational complexity
- objective function
- power system
- evolutionary algorithm
- worst case
- learning algorithm
- search space
- reinforcement learning
- genetic algorithm
- bi objective
- pareto optimal
- particle swarm optimization algorithm
- reactive power optimization
- benchmark problems
- knapsack problem
- greedy algorithm
- optimization problems
- k means
- optimal solution
- artificial intelligence