Comparison of SPEA2 and NSGA-II Applied to Automatic Inventory Control System Using Hypervolume Indicator

被引：0

作者：

Cholodowicz, Ewelina ^{[1
]}

Orlowski, Przemyslaw ^{[1
]}

机构：

[1] West Pomeranian Univ Technol, Sikorskiego 37, PL-70313 Szczecin, Poland

来源：

STUDIES IN INFORMATICS AND CONTROL | 2017年 / 26卷 / 01期

关键词：

inventory control system; SPEA2; NSGA-II; multi-objective optimization; hypervolume; MULTIOBJECTIVE OPTIMIZATION; UNCERTAINTY; ENGINE; TIME;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The optimization of multi-objective problems is an area of important research. The importance attained by this type of problems has allowed the development of multiple algorithms. To determine which multi-objective algorithm has the best performance with respect to the problem of goods flow in the inventory, in this article an experimental comparison between two of the main multi-objective evolutionary algorithms is conducted: Nondominated Sorting Genetic Algorithm II (NSGA-II) and Strength Pareto Evolutionary Algorithm 2 (SPEA2). The inventory model is optimized by taking into account two objectives: minimal cost of lost opportunities to make sales and minimal cost of used space in the inventory. The results obtained by both algorithms are compared and analysed based on hypervolume indicator that measures the volume of the dominated space.

引用

页码：67 / 74

页数：8

共 13 条

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