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
收藏
页码：531 / 535
页数：5
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