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dc.contributor.authorKothari, R.
dc.contributor.authorGhosh, D.
dc.date.accessioned2015-05-20T13:12:02Z
dc.date.available2015-05-20T13:12:02Z
dc.date.issued2014
dc.identifier.citationOzcelik, F. (2012). A hybrid genetic algorithm for the single row layout problem. International Journal Of Production Research, 50(20), 5872-5886.en_US
dc.identifier.issn00207543
dc.identifier.urihttp://hdl.handle.net/11718/13618
dc.description.abstractThe arrangement of machines or departments along a straight line is known as single row layout and it is a widely employed configuration in flexible manufacturing systems. In this paper, a hybrid genetic algorithm (HGA) is proposed to solve the single row layout design problem with unequal sized machines and unequal clearances. The algorithm is developed by hybridisation of a genetic algorithm with a local search operator. The proposed HGA is tested on 51 well known data sets from the literature with equal and unequal clearances, and the results are compared with the best known solutions. Finally, algorithm's effectiveness in reaching previously known best solutions is revealed and improvements up to 7% in problems with unequal clearance are obtained.en_US
dc.language.isoenen_US
dc.publisherInternational Journal of Production Researchen_US
dc.subjectMachine layout problemen_US
dc.subjectSingle row layouten_US
dc.subjectGenetic algorithmen_US
dc.titleAn efficient genetic algorithm for single row facility layouten_US
dc.typeArticleen_US


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