A tuned NSGA-II to optimize the total cost and service level for a just-in-time distribution network.
Ashkan MemariAbdul Rahman Bin Abdul RahimAdnan HassanRobiah Binti AhmadPublished in: Neural Comput. Appl. (2017)
Keyphrases
- total cost
- service level
- nsga ii
- distribution network
- optimal solution
- multi objective
- particle swarm
- safety stock
- evolutionary algorithm
- supply chain
- multi objective optimization
- lead time
- test problems
- optimization problems
- traveling salesman problem
- ant colony algorithm
- optimization algorithm
- knapsack problem
- differential evolution
- planning horizon
- genetic algorithm
- branch and bound algorithm
- production cost
- linear programming
- np hard
- metaheuristic
- particle swarm optimization
- objective function
- feasible solution
- average cost
- setup cost
- fitness function
- search space
- evolutionary computation
- holding cost
- inventory policy
- inventory level
- global optimization
- multiple objectives
- pso algorithm
- neural network
- simulated annealing
- lower bound
- decision making
- data mining