A practical system for Functional Electrical Stimulation (FES) assisted standing up in paraplegia should involve only a minimum of manual set up and tuning. An improved tuning method, using a genetic algorithm (GA) is proposed and demonstrated using computer simulation. Specifically, the GA adjusts
Optimal inventory control of lumpy demand items using genetic algorithms
โ Scribed by K.L. Mak; Y.S. Wong; G.Q. Huang
- Publisher
- Elsevier Science
- Year
- 1999
- Tongue
- English
- Weight
- 269 KB
- Volume
- 37
- Category
- Article
- ISSN
- 0360-8352
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โฆ Synopsis
This paper is concerned with the optimal control of inventory items which experience lumpy demands. A mathematical model is developed for the determination of optimal replenishment policies for such items. In order to avoid disrupting the inventory system, a maximum issue quantity of w units is specified such that customer orders with sizes exceeding w units will be filtered out of the inventory system and treated as special orders to be satisfied by placing special replenishment orders to a supplier. Customer orders with sizes less than or equal to w units will be met from stock. A genetic search algorithm is developed to solve the problem. The theoretical results obtained are illustrated with a numerical example.
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