Non-Crossover and Multi-Mutation Based Genetic Algorithm for Flexible Job-Shop Scheduling Problem.
Zhongshan ZhangYuning ChenYuejin TanJungang YanPublished in: IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (2016)
Keyphrases
- genetic algorithm
- multi objective
- crossover operator
- mutation operator
- evolutionary algorithm
- job shop scheduling problem
- fitness function
- differential evolution
- genetic algorithm ga
- genetic operators
- simulated annealing
- crossover and mutation
- population size
- neural network
- metaheuristic
- real coded
- function optimization problems
- multi objective optimization
- mutation probability
- genetic algorithm is applied
- evolutionary computation
- genetic programming
- genetic search
- artificial neural networks
- optimization algorithm
- mutation operation
- job shop scheduling
- candidate solutions
- natural selection
- initial population
- optimization method
- particle swarm optimization
- mutation rate
- encoding scheme
- artificial immune system
- ant colony optimization