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Genetic algorithms for single machine family scheduling problems with maximum lateness and completion time

1st Regional Conference on Applied and Engineering Mathematics (RCAEM-I) 2010 organized by Universiti Malaysia Perlis (UniMAP) and co-organized by Universiti Sains Malaysia (USM) & Universiti Kebangsaan Malaysia (UKM), 2nd - 3rd June 2010 at Eastern & Oriental Hotel, Penang.

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Bibliographic Details
Main Authors: Lee, Lai Soon, Habibeh, Nazif
Other Authors: lee@math.upm.edu.my
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2010
Subjects:
Genetic algorithm
Single machine scheduling
Maximum lateness
Completion time
Regional Conference on Applied and Engineering Mathematics (RCAEM)
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/10275
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spelling my.unimap-102752010-11-24T06:57:44Z Genetic algorithms for single machine family scheduling problems with maximum lateness and completion time Lee, Lai Soon Habibeh, Nazif lee@math.upm.edu.my habibeh@math.upm.edu.my Genetic algorithm Single machine scheduling Maximum lateness Completion time Regional Conference on Applied and Engineering Mathematics (RCAEM) 1st Regional Conference on Applied and Engineering Mathematics (RCAEM-I) 2010 organized by Universiti Malaysia Perlis (UniMAP) and co-organized by Universiti Sains Malaysia (USM) & Universiti Kebangsaan Malaysia (UKM), 2nd - 3rd June 2010 at Eastern & Oriental Hotel, Penang. Single machine family scheduling problem with family setup times is a combinatorial optimisation problems where jobs are partitioned into families and setup time is required between these families. Genetic algorithms using an optimised crossover operator designed by an undirected bipartite graph are proposed for solving the problems of minimising the maximum lateness and minimising the total weighted completion time respectively. Computational experiments are conducted to assess the efficiency of the proposed algorithms compared to other variants of genetic algorithms. Computational results of each problem showed that the proposed algorithms are able to generate better quality solutions compared to others. 2010-11-24T06:57:44Z 2010-11-24T06:57:44Z 2010-06-02 Working Paper Vol.3(6), p.302-307 http://hdl.handle.net/123456789/10275 en Proceedings of the 1st Regional Conference on Applied and Engineering Mathematics (RCAEM-I) 2010 Universiti Malaysia Perlis (UniMAP) Institut Matematik Kejuruteraan
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Genetic algorithm
Single machine scheduling
Maximum lateness
Completion time
Regional Conference on Applied and Engineering Mathematics (RCAEM)
spellingShingle Genetic algorithm
Single machine scheduling
Maximum lateness
Completion time
Regional Conference on Applied and Engineering Mathematics (RCAEM)
Lee, Lai Soon
Habibeh, Nazif
Genetic algorithms for single machine family scheduling problems with maximum lateness and completion time
description 1st Regional Conference on Applied and Engineering Mathematics (RCAEM-I) 2010 organized by Universiti Malaysia Perlis (UniMAP) and co-organized by Universiti Sains Malaysia (USM) & Universiti Kebangsaan Malaysia (UKM), 2nd - 3rd June 2010 at Eastern & Oriental Hotel, Penang.
author2 lee@math.upm.edu.my
author_facet lee@math.upm.edu.my
Lee, Lai Soon
Habibeh, Nazif
format Working Paper
author Lee, Lai Soon
Habibeh, Nazif
author_sort Lee, Lai Soon
title Genetic algorithms for single machine family scheduling problems with maximum lateness and completion time
title_short Genetic algorithms for single machine family scheduling problems with maximum lateness and completion time
title_full Genetic algorithms for single machine family scheduling problems with maximum lateness and completion time
title_fullStr Genetic algorithms for single machine family scheduling problems with maximum lateness and completion time
title_full_unstemmed Genetic algorithms for single machine family scheduling problems with maximum lateness and completion time
title_sort genetic algorithms for single machine family scheduling problems with maximum lateness and completion time
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2010
url http://dspace.unimap.edu.my/xmlui/handle/123456789/10275
_version_ 1643789800002551808
score 13.222552

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