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Learning from Nature. Using Genetic Algorithms for Inventory Optimisation

Language EnglishEnglish
Book Paperback
Book Learning from Nature. Using Genetic Algorithms for Inventory Optimisation Leopold Pfeiffer
Libristo code: 35447512
Publishers Grin Verlag, March 2021
Bachelor Thesis from the year 2020 in the subject Mathematics - Applied Mathematics, grade: 1,00, Un... Full description
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Bachelor Thesis from the year 2020 in the subject Mathematics - Applied Mathematics, grade: 1,00, University of Augsburg (Quantitative Methods), language: English, abstract: A battery of approaches has been applied by researchers and practitioners in the field of inventory optimisation to find optimal inventory policies that can drive the success of businesses of various industries. One such approach is based on the use of genetic algorithms, a multi-purpose subclass of evolutionary algorithms that imitate the prin- ciples of evolution to solve combinatorial problems. In this thesis, we extensively explore the theoretical background of inventory optimisation as well as genetic algorithms before we develop a four-stage serial supply chain model and implement a genetic algorithm for base-stock level optimisation.

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About the book

Full name Learning from Nature. Using Genetic Algorithms for Inventory Optimisation
Author Leopold Pfeiffer
Language English
Binding Book - Paperback
Date of issue 2021
Number of pages 64
EAN 9783346305008
ISBN 3346305007
Libristo code 35447512
Publishers Grin Verlag
Weight 107
Dimensions 148 x 210 x 5

Categories

Computing & Information Technology > Computer programming / software engineering > Algorithms & data structures
Mathematics & Science > Mathematics
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