Carte Learning from Nature. Using Genetic Algorithms for Inventory Optimisation Leopold Pfeiffer

Learning from Nature. Using Genetic Algorithms for Inventory Optimisation

Limbă: engleză
Legare: Carte broșată
Editura: Grin Verlag
Disponibilitate: În depozitul extern
Expediem în 5-8 zile
135.20 lei
Bachelor Thesis from the year 2020 in the subject Mathematics - Applied Mathematics, grade: 1,00, Un...

Informații despre carte

Limbă
engleză
Legare
Carte - Carte broșată
Publicat
2021
Pagini
64
EAN
9783346305008
ISBN
3346305007
Enbook ID
35447512
Editura
Greutate
107
Dimensiuni
148 x 210 x 5

Descriere completă

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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