Modeling and optimizing a vendor managed replenishment system using machine learning and genetic algorithms

Author:

Chi Hoi-Ming,Ersoy Okan K.,Moskowitz Herbert,Ward Jim

Publisher

Elsevier BV

Subject

Information Systems and Management,Management Science and Operations Research,Modelling and Simulation,General Computer Science,Industrial and Manufacturing Engineering

Reference37 articles.

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2. Brank, J., Grobelnik, M., Milic-Frayling, N., Mladenic, D., 2002. Feature selection using linear support vector machines. Technical Report, MSR-TR-2002-63, Microsoft Research, Microsoft Corporation.

3. Chi, H.M., Ersoy, O., Moskowitz, H., 2005. Feature selection using random probes and linear support vector machines. In: Computational Intelligence: Methods and Applications (CIMA), Istanbul, Turkey, December 15–17, in press.

4. Chipperfield, A.J., Fleming, P.J., Pohlheim, H., Fonseca, C.M., 1994. Genetic algorithm toolbox user’s guide. ACSE Research Report No. 512, University of Sheffield.

5. A learning-based methodology for dynamic scheduling in distributed manufacturing systems;Chiu;International Journal of Production Research,1995

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