Genetic-local hybrid optimizer for solving advance layout problem

Advance Layout problem(ALP) is used to search for an optimal layout of machines. This research describes a novel method, based on genetic algorithms(GA) to solve the machine layout problem, where developing machine layout is an important step designing manufacturing, renovation of factories, distrib...

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Main Authors:	Taha, Imad, Ibrahim Habra, Hind Saleem
Format:	Article
Language:	English
Published:	Al Rafidain University College 2006
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/6682/ http://irep.iium.edu.my/6682/ http://irep.iium.edu.my/6682/1/imad-hind.pdf

id	iium-6682
recordtype	eprints
spelling	iium-66822013-07-31T04:38:00Z http://irep.iium.edu.my/6682/ Genetic-local hybrid optimizer for solving advance layout problem Taha, Imad Ibrahim Habra, Hind Saleem QA75 Electronic computers. Computer science Advance Layout problem(ALP) is used to search for an optimal layout of machines. This research describes a novel method, based on genetic algorithms(GA) to solve the machine layout problem, where developing machine layout is an important step designing manufacturing, renovation of factories, distribution centers, hospitals, banks, department stores, military supply, depots, universities, etc. The research studies the problem of adding the heterogeneous objects, continuous placement in the general spatial layout problem. Results are achieved through the use of local optimizer, separation algorithm with genetic algorithm also called hybrid simple genetic. Results show the potentiality of the proposed algorithm in solving the problem and outperforming previous algorithms. Al Rafidain University College 2006 Article PeerReviewed application/pdf en http://irep.iium.edu.my/6682/1/imad-hind.pdf Taha, Imad and Ibrahim Habra, Hind Saleem (2006) Genetic-local hybrid optimizer for solving advance layout problem. Journal of Al Rafidain University College, 8 (19). pp. 87-98. ISSN 1681-6870 http://www.coalrafidain.edu.iq
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Taha, Imad Ibrahim Habra, Hind Saleem Genetic-local hybrid optimizer for solving advance layout problem
description	Advance Layout problem(ALP) is used to search for an optimal layout of machines. This research describes a novel method, based on genetic algorithms(GA) to solve the machine layout problem, where developing machine layout is an important step designing manufacturing, renovation of factories, distribution centers, hospitals, banks, department stores, military supply, depots, universities, etc. The research studies the problem of adding the heterogeneous objects, continuous placement in the general spatial layout problem. Results are achieved through the use of local optimizer, separation algorithm with genetic algorithm also called hybrid simple genetic. Results show the potentiality of the proposed algorithm in solving the problem and outperforming previous algorithms.
format	Article
author	Taha, Imad Ibrahim Habra, Hind Saleem
author_facet	Taha, Imad Ibrahim Habra, Hind Saleem
author_sort	Taha, Imad
title	Genetic-local hybrid optimizer for solving advance layout problem
title_short	Genetic-local hybrid optimizer for solving advance layout problem
title_full	Genetic-local hybrid optimizer for solving advance layout problem
title_fullStr	Genetic-local hybrid optimizer for solving advance layout problem
title_full_unstemmed	Genetic-local hybrid optimizer for solving advance layout problem
title_sort	genetic-local hybrid optimizer for solving advance layout problem
publisher	Al Rafidain University College
publishDate	2006
url	http://irep.iium.edu.my/6682/ http://irep.iium.edu.my/6682/ http://irep.iium.edu.my/6682/1/imad-hind.pdf
first_indexed	2023-09-18T20:15:47Z
last_indexed	2023-09-18T20:15:47Z
_version_	1777407777557184512

Genetic-local hybrid optimizer for solving advance layout problem

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