A Class of Methods Using Interval Arithmetic Operations for Solving Multi–Objective Interval Transportation Problems

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2023-09-03 DOI:10.18187/pjsor.v19i3.3983

Ramesh Ganesan, Mathavan N

引用次数: 0

Abstract

The objective of this article is studying on cost and time minimization of interval transportation problem (ITP) by using Best Candidate Method (BCM), Improved ASM method (IASM), ASM method, Zero Suffix Method (ZSM) and Zero Point Method (ZPM) with new interval arithmetic operations. We have obtained a better optimum result campared with existing methods available in the literature. The problems considered in this article are solved by the above listed methods without converting them into classical transportation problems. A comparative results are also given.

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一类用区间算术运算求解多目标区间运输问题的方法

本文的目的是利用最佳候选方法(BCM)、改进ASM方法(IASM)、ASM方法、零后缀方法(ZSM)和零点方法(ZPM)和新的区间算术运算，研究区间运输问题(ITP)的成本和时间最小化问题。与文献中已有的方法相比，我们得到了更好的优化结果。本文所考虑的问题是用上述方法来解决的，而不是把它们转化为经典的运输问题。并给出了比较结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.