An application of real-coded genetic algorithm (for mixed integer non-linear programming in an optimal two-warehouse inventory policy for deteriorating items with a linear trend in demand and a fixed planning horizon).
P. PalC. B. DasAshish PandaAsoke Kumar BhuniaPublished in: Int. J. Comput. Math. (2005)
Keyphrases
- ordering cost
- mixed integer
- lot sizing
- lot size
- real coded
- planning horizon
- genetic algorithm
- inventory policy
- mixed integer programming
- single item
- multi item
- fixed cost
- genetic algorithm ga
- inventory models
- lead time
- multistage
- differential evolution
- single product
- penalty function
- particle swarm optimization
- production planning
- inventory systems
- fitness function
- total cost
- setup cost
- optimal solution
- supply chain
- service level
- feasible solution
- linear program
- holding cost
- tabu search
- expected cost
- periodic review
- finite horizon
- evolutionary algorithm
- production system
- production cost
- lost sales
- continuous variables
- simulated annealing
- infinite horizon
- objective function