On the Simplex Algorithm Initializing

Author:

Stojković Nebojša V.1,Stanimirović Predrag S.2,Petković Marko D.2,Milojković Danka S.3

Affiliation:

1. Faculty of Economics, University of Niš, Trg Kralja Aleksandra 11, 18000 Niš, Serbia

2. Department of Computer Science, Faculty of Sciences, University of Niš, Višegradska 33, 18000 Niš, Serbia

3. LEDIB Programme Component Coordinator, Nisava District, 18000 Niš, Serbia

Abstract

This paper discusses the importance of starting point in the simplex algorithm. Three different methods for finding a basic feasible solution are compared throughout performed numerical test examples. We show that our two methods on theNetlibtest problems have better performances than the classical algorithm for finding initial solution. The comparison of the introduced optimization softwares is based on the number of iterative steps and on the required CPU time. It is pointed out that on average it takes more iterations to determine the starting point than the number of iterations required by the simplex algorithm to find the optimal solution.

Funder

Serbion Ministry of Education and Science

Publisher

Hindawi Limited

Subject

Applied Mathematics,Analysis

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Identifying optimal combinations of synchronous condensers for minimum grid strength compliance;International Journal of Electrical Power & Energy Systems;2024-02

2. Improved model for Lithium-ion batteries for Discharge characteristics;2022 2nd International Conference on Advanced Electrical Engineering (ICAEE);2022-10-29

3. Modified Stojkovic-Stanimirovic method to find redundant constrains in linear programming problems;Journal of Physics: Conference Series;2019-10-01

4. Some methods for identifying redundant constraints in linear programming;Journal of Physics: Conference Series;2019-10-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3