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Genetic Algorithm for Inventory Classification by Haneesha Muddasani is a document available to read on EtoBox.
What is Genetic Algorithm for Inventory Classification about?
The document summarizes a study that uses a genetic algorithm to optimize the weights of multiple criteria for multicriteria inventory classification. A new crossover operation called continuous uniform crossover is proposed to produce valid chromosomes given that the parent chromosomes are valid. This genetic algorithm approach is applied to multicriteria inventory classification and the results are compared to the classical analytical hierarchy process approach.
- Author
- Haneesha Muddasani
- Language
- EN