Multi-objective optimal power flow solutions using a constraint handling technique of evolutionary algorithms.
Partha P. BiswasPonnuthurai N. SuganthanRammohan MallipeddiGehan A. J. AmaratungaPublished in: Soft Comput. (2020)
Keyphrases
- evolutionary algorithm
- multi objective
- constraint handling
- constrained optimization problems
- evolutionary optimization
- particle swarm optimization
- evolution strategy
- optimal power flow
- multi objective optimization problems
- differential evolution
- multiple objectives
- multi objective optimization
- optimization problems
- optimization algorithm
- genetic algorithm
- bi objective
- evolutionary computation
- evolutionary strategy
- multi objective evolutionary algorithms
- fitness function
- hyper heuristics
- simulated annealing
- nsga ii
- genetic programming
- power system
- optimization method
- multiobjective optimization
- benchmark problems
- multi objective problems
- mutation operator
- penalty function
- crossover operator
- constrained optimization
- particle swarm
- convergence speed
- pso algorithm
- metaheuristic
- particle swarm optimization algorithm
- optimal solution
- neural network
- optimal design
- solution quality
- solution space
- global optimization