A hybrid differential evolution algorithm for the multi-objective reentrant job-shop scheduling problem.
Bin QianZ. H. LiRong HuC. S. ZhangPublished in: ICCA (2013)
Keyphrases
- differential evolution algorithm
- job shop scheduling problem
- multi objective
- evolutionary algorithm
- simulated annealing
- genetic algorithm
- differential evolution
- job shop scheduling
- global numerical optimization
- optimization problems
- benchmark problems
- optimization algorithm
- multi objective optimization
- critical path
- evolutionary computation
- particle swarm
- tabu search
- memetic algorithm
- particle swarm optimization
- combinatorial optimization problems
- control parameters
- scheduling problem
- fitness function
- nsga ii
- optimization method
- metaheuristic
- crossover operator
- artificial immune system
- combinatorial optimization
- genetic algorithm ga
- genetic programming
- graph model
- traveling salesman problem
- neural network
- population size
- objective function
- machine learning
- optimization methods
- hybrid algorithm
- fuzzy logic