Improved Genetic Algorithm Approach Based on New Virtual Crossover Operators for Dynamic Job Shop Scheduling.
Kaouther Ben AliAchraf Jabeur TelmoudiSaid GattoufiPublished in: IEEE Access (2020)
Keyphrases
- job shop scheduling
- crossover operator
- genetic algorithm
- job shop scheduling problem
- memetic algorithm
- mutation operator
- evolutionary algorithm
- fitness function
- genetic operators
- traveling salesman problem
- combinatorial optimization problems
- scheduling problem
- genetic algorithm ga
- differential evolution
- explore the search space
- tabu search
- simulated annealing
- genetic programming
- optimization problems
- graph model
- artificial neural networks
- neural network
- metaheuristic
- benchmark problems
- multi objective
- ant colony optimization
- greedy algorithm
- dynamic programming
- social networks
- information retrieval
- population diversity