Application of genetic algorithms in manufacturing optimization

In the dissertation, we consider the optimization problem arisen from tool changing scheduling of a nut forming manufacturing process.

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Guang, Ying Hong.
مؤلفون آخرون: Zhong, Zhaowei
التنسيق: Theses and Dissertations
منشور في: 2008
الموضوعات:
الوصول للمادة أونلاين:http://hdl.handle.net/10356/5764
الوسوم: إضافة وسم
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spelling sg-ntu-dr.10356-57642023-03-11T17:23:44Z Application of genetic algorithms in manufacturing optimization Guang, Ying Hong. Zhong, Zhaowei School of Mechanical and Production Engineering DRNTU::Engineering::Manufacturing In the dissertation, we consider the optimization problem arisen from tool changing scheduling of a nut forming manufacturing process. Master of Science (Precision Engineering) 2008-09-17T10:58:24Z 2008-09-17T10:58:24Z 2002 2002 Thesis http://hdl.handle.net/10356/5764 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Manufacturing
spellingShingle DRNTU::Engineering::Manufacturing
Guang, Ying Hong.
Application of genetic algorithms in manufacturing optimization
description In the dissertation, we consider the optimization problem arisen from tool changing scheduling of a nut forming manufacturing process.
author2 Zhong, Zhaowei
author_facet Zhong, Zhaowei
Guang, Ying Hong.
format Theses and Dissertations
author Guang, Ying Hong.
author_sort Guang, Ying Hong.
title Application of genetic algorithms in manufacturing optimization
title_short Application of genetic algorithms in manufacturing optimization
title_full Application of genetic algorithms in manufacturing optimization
title_fullStr Application of genetic algorithms in manufacturing optimization
title_full_unstemmed Application of genetic algorithms in manufacturing optimization
title_sort application of genetic algorithms in manufacturing optimization
publishDate 2008
url http://hdl.handle.net/10356/5764
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