Solving Bi-Criteria and Bi-Objectives of Total Tardiness Jobs Times and Range of Lateness Problems Using New Techniques

Author:

Ali Faez Hassan,Jawad Riyam Noori,Hussein Wadhah Abdulleh

Abstract

In this paper, we proposed new techniques to solve one of the important fields of the Combinatorial Optimization Problem, which is the problem of machine scheduling. The problem which wants to be solved in this paper is the total tardiness times and range of lateness. For bi-criteria we have (1//(∑Tj,RL)) while for bi-objective we have (1//(∑Tj+RL)). In order to solve the suggested two problems, some new exact and approximation methods are suggested which are produced good results. The results which are obtained from applying the newly proposed methods are compared with the exact method; like Complete Enumeration Method (CEM), then compared results of the heuristics with each other's to obtain the most efficient method.

Publisher

Al-Mustansiriyah Journal of Science

Subject

General Medicine

Reference20 articles.

1. F. H. Ali, "Improving exact and local search algorithms for solving some combinatorial optimization problems", Ph. D., Thesis, Mustansiriyah University, College of Science, Dept. of Mathematics, 2015.

2. T. S. Abdul-Razaq and F. H. Ali, "Constructing of an artificial neural network to minimize total completion time and total tardiness", IOSR Journal of Mathematics (IOSR-JM) e-ISSN: 2278-3008, p-ISSN:2319-7676. Volume 10, Issue 2 Ver. VI (Mar-Apr. 2014), PP 25-37.

3. CrossRef

4. T. S. Abdul-Razaq and S. A. Ali, "A comparison of local search algorithm for multicriteria scheduling problems", M.Sc. thesis, University of Al-Mustansiriyah Univ, College of Science, Dept. of Mathematics, 2016.

5. S. B. Abdulkareem, "Improving exact and local search algorithms for solving some combinatorial optimization problems", M. Sc., Thesis, Mustansiriyah University, College of Science, Dept. of Mathematics, 2017.

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