scholarly journals A Genetic Algorithm-Based Model for Inventory Control in Intermittent Demands

2022 ◽  
Author(s):  
Ferhat YUNA ◽  
Burak ERKAYMAN
Keyword(s):  
Genetic Algorithm ◽  
Inventory Control

Application of Genetic Algorithms in Inventory Control

2016 ◽  
pp. 1087-1098
Author(s):  
Vinod Kumar Mishra
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Natural Selection ◽  
Inventory Control ◽  
Future Trend ◽  
Production Engineering ◽  
Mathematical Sciences ◽  
Adaptive Heuristic ◽  
Definition Of ◽  
Key Terms

The genetic algorithm (GA) is an adaptive heuristic search procedures based on the mechanics of natural selection and natural genetics. Inventory control is widely used in the area of mathematical sciences, management sciences; system science, industrial engineering, production engineering etc. but they have wide differences in mathematical and computation maturity. This chapter enables the reader to understand the basic theory of genetic algorithm and how to apply the genetic algorithms for optimizing the parameters in inventory control The current and future trend of the research with the definition of key terms of genetic algorithm has also incorporated in this chapter.

HEALTHCARE SYSTEMS OF INVENTORY CONTROL FOR BLOOD BANK STORAGE WITH RELIABILITY APPLICATIONS USING GENETIC ALGORITHM

2020 ◽  
Vol 9 (7) ◽  
pp. 5133-5142
Author(s):  
A. Singh Yadav ◽  
N. Ahlawat ◽  
N. Sharma ◽  
A. Swami, ◽  
Navyata
Keyword(s):  
Genetic Algorithm ◽  
Inventory Control ◽  
Healthcare Systems ◽  
Blood Bank

A genetic algorithm to optimize multiproduct multiconstraint inventory control systems with stochastic replenishment intervals and discount

2010 ◽  
Vol 51 (1-4) ◽  
pp. 311-323 ◽  
Author(s):  
Ata Allah Taleizadeh ◽  
Seyed Taghi Akhavan Niaki ◽  
Mir-Bahador Aryanezhad ◽  
Alireza Fallah Tafti
Keyword(s):  
Genetic Algorithm ◽  
Control Systems ◽  
Inventory Control

Deterministic Model and Genetic Algorithm of Joint Inventory Control for Virtual Logistics

2012 ◽  
Vol 472-475 ◽  
pp. 97-101
Author(s):  
Da Li Jiang ◽  
Feng Wang
Keyword(s):  
Genetic Algorithm ◽  
Control Problem ◽  
Inventory Control ◽  
Computational Experiment ◽  
Deterministic Model ◽  
Control Model ◽  
Hard Problem ◽  
Np Hard Problem ◽  
Inventory Control Model ◽  
Inventory Control Problem

Virtual logistics is the trend of development for modern logistics. The problem of optimum of whole inventory of enterprises inside the virtual logistics organization should be solved immediately. This paper makes a deep research on virtual logistics joint inventory control problem, and puts forward an inventory control model based on indirect grouping. The model is a NP-Hard problem, so we put forward a genetic algorithm to solve the problem. The results of computational experiment prove the performance of both the model and the genetic algorithm.

Application of Genetic Algorithms in Inventory Control

2016 ◽  
pp. 32-46
Author(s):  
Vinod Kumar Mishra
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Natural Selection ◽  
Inventory Control ◽  
Future Trend ◽  
Production Engineering ◽  
Mathematical Sciences ◽  
Adaptive Heuristic ◽  
Definition Of ◽  
Key Terms

The genetic algorithm (GA) is an adaptive heuristic search procedures based on the mechanics of natural selection and natural genetics. Inventory control is widely used in the area of mathematical sciences, management sciences; system science, industrial engineering, production engineering etc. but they have wide differences in mathematical and computation maturity. This chapter enables the reader to understand the basic theory of genetic algorithm and how to apply the genetic algorithms for optimizing the parameters in inventory control The current and future trend of the research with the definition of key terms of genetic algorithm has also incorporated in this chapter.

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