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Optimality Analysis on the Basis of Rectangular (Manhattan) Distance Measure for Maximin LHDs Obtained by the Iterated Local Search Heuristics Approach

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dc.contributor.advisor Jamali, Prof Dr. A. R. M. Jalal Uddin
dc.contributor.author Ali, Md. Ishaque
dc.date.accessioned 2018-08-14T06:48:52Z
dc.date.available 2018-08-14T06:48:52Z
dc.date.copyright 2015
dc.date.issued 2015-06
dc.identifier.other ID 1151554
dc.identifier.uri http://hdl.handle.net/20.500.12228/387
dc.description dc.description This thesis is submitted to the Department of Mathematics, Khulna University of Engineering & Technology in partial fulfillment of the requirements for the degree of Master of Philosophy in Mathematics, June 2015. en_US
dc.description Cataloged from PDF Version of Thesis.
dc.description Includes bibliographical references (pages 82-90).
dc.description.abstract Design of Experiment (DoE) is an important issue for developing mathematical model of any physical problem especially when there exist large numbers of factors. Optimal Latin Hypercube Design (LHD) is one of the well-known and used tools among the experimental designs. For obtaining optimal LHD, Iterated Local Search (ILS) is one of the best way among the heuristic approaches. Grosso et al. (2009) showed that ILS approach has the ability to obtain a large number of maximin (Optimizations by maximizing minimum pairwise distance) LHD where distances are measured in terms of Euclidian distance measure. Several authors showed that rather than Euclidean distance measure other measures may suitable for good DoE. Manhattan distance measure is one of them [Morris and Mitchell (1995)]. In this research work, the main objective is to study the optimality of the maximin LHD obtained by ILS approach regarding Manhattan distance measure. For this purpose, ILS approach is implemented in windows environment (rather than Sun cluster, as Gross et al. (2009) done). Extensive experiments are performed to obtain maximin LHD measured in Euclidian distance measure. Then further experiments are reformed on those LHDs to find the minimum pair-wise distance of each LHD measured in Manhattan distance. Those values are compared with available one in the literature. It is noted that few values (maximin LHD measured in Manhattan distance measure) are available in the literature. It seems that the minimum pair-wise distance measured in Manhattan distance measure of the maximin LHDs obtained by ILS approach, optimized in Euclidian distance measure are comparable with those maximin LHDs obtained through other approaches but optimized in the Manhattan distance measure. Moreover some further experiments are performed to find out some new characteristics of those LHDs which may be used for further study. Some improved maximin LHDs are also obtained in this experimental arena and are presented in the thesis. en_US
dc.description.statementofresponsibility Md. Ishaque Ali
dc.format.extent 90 pages
dc.language.iso en_US en_US
dc.publisher Khulna University of Engineering & Technology (KUET), Khulna, Bangladesh. en_US
dc.rights Khulna University of Engineering & Technology (KUET) thesis/dissertation/internship reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subject Optimality Analysis en_US
dc.subject Rectangular (Manhattan) Distance en_US
dc.subject Maximin LHDs en_US
dc.title Optimality Analysis on the Basis of Rectangular (Manhattan) Distance Measure for Maximin LHDs Obtained by the Iterated Local Search Heuristics Approach en_US
dc.type Thesis en_US
dc.description.degree Master of Philosophy in Mathematics
dc.contributor.department Department of Mathematics


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