A NSGA-II based memetic algorithm for multiobjective parallel flowshop scheduling problem.
Hongfeng WangYaping FuMin HuangGeorge Q. HuangJunwei WangPublished in: Comput. Ind. Eng. (2017)
Keyphrases
- memetic algorithm
- nsga ii
- flowshop
- tabu search
- scheduling problem
- multi objective
- test problems
- crossover operator
- multiobjective optimization
- evolutionary algorithm
- genetic algorithm
- multiobjective evolutionary algorithm
- pareto optimal
- parallel machines
- multiobjective optimization problems
- multi objective optimization
- single machine
- uniform design
- processing times
- metaheuristic
- flowshop scheduling
- minimizing makespan
- evolutionary multiobjective
- optimization problems
- job shop scheduling problem
- optimization algorithm
- simulated annealing
- np hard
- setup times
- maximum lateness
- particle swarm optimization
- multi objective optimization problems
- vehicle routing problem
- pareto dominance
- evolutionary computation
- feasible solution
- total tardiness
- minimizing total tardiness
- sequence dependent setup times
- objective function
- multiple objectives
- multi objective evolutionary algorithms
- pareto optimal solutions
- bi objective
- heuristic methods
- optimal solution
- precedence constraints
- permutation flowshop
- preventive maintenance
- special case
- neural network
- pareto optimal set
- search algorithm
- fitness function
- release dates
- genetic programming
- differential evolution
- knapsack problem