Study of economic order lot based on improved ABC

DOI

10.2991/978-94-6463-304-7_8How to use a DOI?

Keywords

Improved artificial bee colony algorithm; Economic ordering; Support vector machine; Order prediction

Abstract

When making product orders, it is necessary to calculate the required order quantity accurately on the basis of ensuring the minimum cost. However, the existing economic order lot model is relatively inaccurate in order quantity prediction. Accordingly, the study optimizes the existing support vector machine order prediction model by the improved artificial bee colony algorithm. Results showed that the MSE values of the improved bee colony algorithm in the training and test sets were 0.0164 and 0.004, significantly lower than those of the improved artificial bee colony algorithm. This indicates that the improved artificial bee colony algorithm has better data seeking capability and can predict the required order quantity better in the economic order lot model.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Peng Li
AU  - Chunyan Duan
AU  - Juan Zhang
AU  - Ying Wang
AU  - Changyong Huang
PY  - 2023
DA  - 2023/12/04
TI  - Study of economic order lot based on improved ABC
BT  - Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023)
PB  - Atlantis Press
SP  - 61
EP  - 72
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-304-7_8
DO  - 10.2991/978-94-6463-304-7_8
ID  - Li2023
ER  -