Optimization of Procurement Strategy Supported by Simulated Annealing and Genetic Algorithm

被引：2

作者：

Niewiadomski, Szymon ^{[1
]}

Mzyk, Grzegorz ^{[1
]}

机构：

[1] Wroclaw Univ Sci & Technol, Wroclaw, Poland

来源：

SYSTEM DEPENDABILITY-THEORY AND APPLICATIONS, DEPCOS-RELCOMEX 2024 | 2024年 / 1026卷

关键词：

Non-convex optimization; Non-linear constraints; Simulated annealing; Genetic algorithm; Forecasting;

D O I：

10.1007/978-3-031-61857-4_19

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The problem of optimizing purchasing plans in a large enterprise, taking into account non-linear constraints, was analyzed and formalized. A critical review of available methods was made in the context of their potential application. Experimental results using the simulated annealing method and the genetic algorithm are presented and compared.

引用

页码：196 / 205

页数：10

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