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.
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Sara 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. Currently, she is a teaching assistant at Faculty of Computer and Information, Zagazig University, Egypt.
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783330003958
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Zustand: 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. Bestandsnummer des Verkäufers 158421640
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783330003958
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 107921620
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783330003958
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