Genetic-local hybrid optimizer for solving advance layout problem

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

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Abstract

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.

Item Type:	Article (Journal)
Uncontrolled Keywords:	genetic algorithms, Advanced Layout Problem, machine layout problem, local optimizer
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology
Depositing User:	Professor Imad Taha
Date Deposited:	31 Jul 2013 12:38
Last Modified:	31 Jul 2013 12:38
URI:	http://irep.iium.edu.my/id/eprint/6682

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