Hybrid flow-shop scheduling in collaborative manufacturing with a multi-crossover-operator genetic algorithm.
Yuxiang GuanYuning ChenZhongxue GanZhuo ZouWenchao DingHongda ZhangYi LiuChun OuyangPublished in: J. Ind. Inf. Integr. (2023)
Keyphrases
- crossover operator
- genetic algorithm
- hybrid genetic algorithm
- evolutionary algorithm
- mutation operator
- fitness function
- genetic operators
- genetic algorithm ga
- traveling salesman problem
- memetic algorithm
- differential evolution
- constrained optimization problems
- real coded genetic algorithms
- crossover and mutation operators
- function optimization
- multi objective
- population diversity
- parallel genetic algorithm
- explore the search space
- uniform design
- constrained multi objective optimization problems
- collaborative learning
- neural network
- artificial neural networks
- evolutionary computation
- fuzzy logic
- constraint satisfaction problems
- simulated annealing
- optimization problems
- selection operator
- crossover and mutation
- mutation probability
- special case
- constraint handling
- nsga ii
- optimization algorithm
- metaheuristic
- combinatorial optimization
- hybrid algorithm
- multi objective optimization