Performance Evaluation of NSGA-III and SPEA2 in Solving a Multi-Objective Single-Period Multi-Item Inventory Problem

被引：0

作者：

Huseyinov, Ilham ^{[1
]}

Bayrakdar, Ali ^{[1
]}

机构：

[1] Istanbul Aydin Univ, Inst Sci Technol, Istanbul, Turkey

来源：

2019 4TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ENGINEERING (UBMK) | 2019年

关键词：

NSGA-III; SPEA2; inventory problem; EVOLUTIONARY ALGORITHMS;

D O I：

10.1109/ubmk.2019.8907139

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Different evolutionary algorithms perform differently while solving the same optimization problem. Therefore, performance evaluation becomes a field of interest while selecting an appropriate algorithm for a given situation. In this paper, Non-Dominated Sorting Genetic Algorithm-III (NSGA-III) and Strength Pareto Evolutionary Algorithm (SPEA2) were evaluated based on a comparative analysis. The comparison was established upon their performances for solving a simulated multi-objective single-period multi-item inventory problem. The results display that the SPEA-II outperformed NSGA-III with spacing, generational distance and hypervolume as performance evaluation metrics.

引用

页码：531 / 535

页数：5