A GENETIC ALGORITHM TO MINIMIZE THE MAKESPAN FOR THREE MACHINE FLOW SHOP SCHEDULING

The aim of this paper is to propose genetic algorithm to finding the optimal schedule with minimum makespan for n jobs in flow shop environment with three machines. In this pape, a new approach for selection, a new crossover operation (3PLOX) and a new stopping criteria based on the lower bound of...

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Main Author: MANAL ABDULKAREEM ZEIDAN
Format: Article
Language:Arabic
Published: College of Computer Science and Mathematics, University of Mosul 2013-04-01
Series:المجلة العراقية للعلوم الاحصائية
Online Access:https://stats.mosuljournals.com/article_75435_e211a5d57d5d85cb177cdc21173844bc.pdf
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author MANAL ABDULKAREEM ZEIDAN
author_facet MANAL ABDULKAREEM ZEIDAN
author_sort MANAL ABDULKAREEM ZEIDAN
collection DOAJ
description The aim of this paper is to propose genetic algorithm to finding the optimal schedule with minimum makespan for n jobs in flow shop environment with three machines. In this pape, a new approach for selection, a new crossover operation (3PLOX) and a new stopping criteria based on the lower bound of the makespan (LB) are proposed.Also, a new procedure of calculating the make span for n jobs at processing by three machine in flow shop environment is suggested. In order to examine the effectiveness of the proposed GA, a comparison was made with Johnson's algorithm. After the application on several problems which generated randomly by uniform distribution, the results showed that the proposed GA is better than Johnson's algorithm with rate 94% in finding the optimal sequence for scheduling jobs which gives optimal makespan.
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spelling doaj.art-226811d6c5444fef94913074c17914432022-12-22T02:36:40ZaraCollege of Computer Science and Mathematics, University of Mosulالمجلة العراقية للعلوم الاحصائية1680-855X2664-29562013-04-01131112610.33899/iqjoss.2013.7543575435A GENETIC ALGORITHM TO MINIMIZE THE MAKESPAN FOR THREE MACHINE FLOW SHOP SCHEDULINGMANAL ABDULKAREEM ZEIDANThe aim of this paper is to propose genetic algorithm to finding the optimal schedule with minimum makespan for n jobs in flow shop environment with three machines. In this pape, a new approach for selection, a new crossover operation (3PLOX) and a new stopping criteria based on the lower bound of the makespan (LB) are proposed.Also, a new procedure of calculating the make span for n jobs at processing by three machine in flow shop environment is suggested. In order to examine the effectiveness of the proposed GA, a comparison was made with Johnson's algorithm. After the application on several problems which generated randomly by uniform distribution, the results showed that the proposed GA is better than Johnson's algorithm with rate 94% in finding the optimal sequence for scheduling jobs which gives optimal makespan.https://stats.mosuljournals.com/article_75435_e211a5d57d5d85cb177cdc21173844bc.pdf
spellingShingle MANAL ABDULKAREEM ZEIDAN
A GENETIC ALGORITHM TO MINIMIZE THE MAKESPAN FOR THREE MACHINE FLOW SHOP SCHEDULING
المجلة العراقية للعلوم الاحصائية
title A GENETIC ALGORITHM TO MINIMIZE THE MAKESPAN FOR THREE MACHINE FLOW SHOP SCHEDULING
title_full A GENETIC ALGORITHM TO MINIMIZE THE MAKESPAN FOR THREE MACHINE FLOW SHOP SCHEDULING
title_fullStr A GENETIC ALGORITHM TO MINIMIZE THE MAKESPAN FOR THREE MACHINE FLOW SHOP SCHEDULING
title_full_unstemmed A GENETIC ALGORITHM TO MINIMIZE THE MAKESPAN FOR THREE MACHINE FLOW SHOP SCHEDULING
title_short A GENETIC ALGORITHM TO MINIMIZE THE MAKESPAN FOR THREE MACHINE FLOW SHOP SCHEDULING
title_sort genetic algorithm to minimize the makespan for three machine flow shop scheduling
url https://stats.mosuljournals.com/article_75435_e211a5d57d5d85cb177cdc21173844bc.pdf
work_keys_str_mv AT manalabdulkareemzeidan ageneticalgorithmtominimizethemakespanforthreemachineflowshopscheduling
AT manalabdulkareemzeidan geneticalgorithmtominimizethemakespanforthreemachineflowshopscheduling