A genetic algorithm with modified crossover operator and search area adaptation for the job-shop scheduling problem.
Masato WatanabeKenichi IdaMitsuo GenPublished in: Comput. Ind. Eng. (2005)
Keyphrases
- job shop scheduling problem
- crossover operator
- genetic algorithm
- memetic algorithm
- job shop scheduling
- explore the search space
- genetic operators
- mutation operator
- evolutionary algorithm
- tabu search
- genetic search
- fitness function
- simulated annealing
- critical path
- global search
- genetic algorithm ga
- crossover and mutation operators
- search algorithm
- job shop
- traveling salesman problem
- differential evolution
- search capabilities
- real coded genetic algorithms
- benchmark problems
- function optimization
- artificial neural networks
- scheduling problem
- metaheuristic
- search space
- hybrid genetic algorithm
- combinatorial optimization
- evolutionary computation
- neural network
- mutation probability
- fuzzy logic
- genetic programming
- feasible solution
- search strategies
- hybrid algorithm
- graph model
- selection operator
- optimal solution
- reinforcement learning
- multi objective optimization
- vehicle routing problem