A new approach to solve travelling salesman problem

bracu.degree.levelUndergraduate
bracu.type.groupStudent Works
datacite.rightsOpen Access
dc.contributor.advisorRashid, Farzana
dc.contributor.advisorShowkat, Dilruba
dc.contributor.authorSarker, Sanjana
dc.contributor.departmentDepartment of Computer Science and Engineering
dc.date.accessioned2015-02-06T06:21:29Z
dc.date.available2015-02-06T06:21:29Z
dc.date.copyright2014
dc.date.issued12/28/2014
dc.descriptionCataloged from PDF version of thesis report.
dc.descriptionIncludes bibliographical references (page 60).
dc.descriptionThis thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2014.en_US
dc.description.abstractThe travelling Salesman Problem is one of the most NP-hard problems. Our research provides a yieldable method for solving the problem using genetic algorithm. To solve TSP we use genetic algorithm, a search algorithm which generates random tours and using crossover technique it gives almost optimized solution for for these kinds of problems. We are introducing a map reduction technique with Genetic Algorithm to create a new approach to solve TSP.en_US
dc.description.degreeBachelor of Science in Computer Science and Engineering
dc.description.statementofresponsibilitySanjana Sarker
dc.format.extent60 pages
dc.identifier.otherID 10201013
dc.identifier.urihttp://hdl.handle.net/10361/3971
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC University thesis 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.subjectComputer science and engineeringen_US
dc.titleA new approach to solve travelling salesman problemen_US
dc.typeThesisen_US

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