Language: English
Published by LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3330003952 ISBN 13: 9783330003958
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New.
Language: English
Published by LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3330003952 ISBN 13: 9783330003958
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 200 pages. 8.66x5.91x0.46 inches. In Stock.
Language: English
Published by LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3330003952 ISBN 13: 9783330003958
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Developing Intelligent Techniques for Solving Scheduling Problems | Genetic Algorithms for University Course Timetabling Problems | Sara Soliman | Taschenbuch | 200 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783330003958 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
Language: English
Published by LAP LAMBERT Academic Publishing Nov 2016, 2016
ISBN 10: 3330003952 ISBN 13: 9783330003958
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -It is quite difficult to envision any institute working without timetabling. During the last few decades, scheduling or timetabling has provided organizations with effective tools for enhancing their capabilities to design, organize, implement and control their activities and determine the most ideal methods for using their resources such as manpower and budgets. In this work, because of the downsides of existing solution approaches in the literature, an algorithmic framework encompassing multiple methodologies for solving University Course Timetabling Problems (UCTPs) more efficiently, is presented. 200 pp. Englisch.
Language: English
Published by LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3330003952 ISBN 13: 9783330003958
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Soliman SaraSara E. Soliman received the bachelor s degree in computer science from Zagazig University, Zagazig, Egypt, in 2011, and the master s degree in computer science from Menoufiya University, Shibin El Kom, Egypt, in 2016. Cu.
Language: English
Published by LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3330003952 ISBN 13: 9783330003958
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. Print on Demand.
Language: English
Published by LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3330003952 ISBN 13: 9783330003958
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. PRINT ON DEMAND.
Language: English
Published by LAP LAMBERT Academic Publishing Nov 2016, 2016
ISBN 10: 3330003952 ISBN 13: 9783330003958
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -It is quite difficult to envision any institute working without timetabling. During the last few decades, scheduling or timetabling has provided organizations with effective tools for enhancing their capabilities to design, organize, implement and control their activities and determine the most ideal methods for using their resources such as manpower and budgets. In this work, because of the downsides of existing solution approaches in the literature, an algorithmic framework encompassing multiple methodologies for solving University Course Timetabling Problems (UCTPs) more efficiently, is presented.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 200 pp. Englisch.
Language: English
Published by LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3330003952 ISBN 13: 9783330003958
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - It is quite difficult to envision any institute working without timetabling. During the last few decades, scheduling or timetabling has provided organizations with effective tools for enhancing their capabilities to design, organize, implement and control their activities and determine the most ideal methods for using their resources such as manpower and budgets. In this work, because of the downsides of existing solution approaches in the literature, an algorithmic framework encompassing multiple methodologies for solving University Course Timetabling Problems (UCTPs) more efficiently, is presented.