Hybrid genetic algorithm and particle swarm for optimal power flow with non-smooth fuel cost functions.
Abdelmalek GacemDjilani BenattousPublished in: Int. J. Syst. Assur. Eng. Manag. (2017)
Keyphrases
- particle swarm
- hybrid genetic algorithm
- optimal power flow
- cost function
- genetic algorithm
- genetic operators
- particle swarm optimization
- power system
- fitness function
- evolutionary algorithm
- particle swarm optimization algorithm
- crossover operator
- optimization method
- multi objective
- swarm intelligence
- differential evolution
- premature convergence
- distribution network
- power generation
- ieee bus
- pso algorithm
- evolutionary computation
- optimization methods
- step size
- mutation operator
- genetic programming
- objective function
- quadratic assignment problem
- genetic algorithm ga
- improved algorithm
- global optimization
- power plant
- optimization problems
- hybrid algorithm
- machine learning
- inertia weight
- convergence speed
- mathematical model
- computational intelligence
- fuzzy logic
- particle swarm optimization pso
- simulated annealing