Optimizing power system stabilizer parameters using hybridized differential evolution and particle swarm optimization.
Qing ZhangWeichao HuangShangbin JiaoPublished in: ICNC (2013)
Keyphrases
- particle swarm optimization
- differential evolution
- parameter optimization
- pso algorithm
- convergence speed
- inertia weight
- multi objective
- evolutionary strategy
- particle swarm optimization pso
- differential evolution algorithm
- global optimization
- evolutionary algorithm
- mutation operator
- test functions
- particle swarm optimization algorithm
- particle swarm
- hybrid algorithm
- evolutionary programming
- optimization method
- premature convergence
- multi objective optimization
- genetic algorithm
- swarm intelligence
- multi objective problems
- numerical optimization problems
- ant colony optimization
- optimization algorithm
- constrained optimization problems
- evolution strategy
- population diversity
- initial population
- artificial bee colony
- real coded
- function optimization problems
- opposition based learning
- solving global optimization problems
- parameter estimation
- maximum likelihood
- operating conditions
- global search
- metaheuristic
- biogeography based optimization
- artificial intelligence
- crossover operator
- parameter values
- scale factor
- expectation maximization
- global optimization problems
- state space
- artificial neural networks
- neural network