Hybridizing genetic algorithm with differential evolution for solving the unit commitment scheduling problem.
Anupam TrivediDipti SrinivasanSubhodip BiswasThomas ReindlPublished in: Swarm Evol. Comput. (2015)
Keyphrases
- differential evolution
- genetic algorithm
- unit commitment
- scheduling problem
- numerical optimization problems
- harmony search
- global optimization problems
- evolutionary algorithm
- real coded
- mutation operator
- differential evolution algorithm
- optimization algorithm
- tabu search
- optimization method
- particle swarm optimization
- hybrid algorithm
- parameter optimization
- multi objective optimization
- particle swarm optimization pso
- multi objective
- crossover operator
- evolutionary strategy
- fitness function
- power generation
- neural network
- flowshop
- np hard
- electricity markets
- mixed integer programming
- nsga ii
- combinatorial optimization
- metaheuristic
- optimization problems
- electric power
- pso algorithm
- genetic algorithm ga
- simulated annealing
- population size
- job shop scheduling problem
- preventive maintenance