Obaid omar ibrahim (96 resultados)

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: New.

Taschenbuch. Condición: Neu. Solving Examination Timetabling Problem By Using Genetic Algorithm | Omar Ibrahim Obaid (u. a.) | Taschenbuch | 184 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659761881 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

Condición: New.

Condición: New.

Condición: New.

Condición: New.

Condición: New.

Condición: New.

Taschenbuch. Condición: Neu. Résolution du problème de planification des examens à l'aide d'un algorithme génétique | Omar Ibrahim Obaid (u. a.) | Taschenbuch | Französisch | 2026 | Editions Notre Savoir | EAN 9786209439100 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Condición: New.

Condición: New.

Condición: New.

Condición: New.

Condición: New.

Condición: New.

Condición: New.

Condición: New.

Taschenbuch. Condición: Neu. Risoluzione del problema della programmazione degli esami utilizzando l'algoritmo genetico | Omar Ibrahim Obaid (u. a.) | Taschenbuch | Italienisch | 2026 | Edizioni Sapienza | EAN 9786209441660 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Condición: Neu. Rozwi¿zywanie problemu planowania egzaminów przy u¿yciu algorytmu genetycznego | Omar Ibrahim Obaid (u. a.) | Taschenbuch | Polnisch | 2026 | Wydawnictwo Nasza Wiedza | EAN 9786209444227 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Condición: Neu. Resolução do problema de agendamento de exames utilizando algoritmos genéticos | Omar Ibrahim Obaid (u. a.) | Taschenbuch | Portugiesisch | 2026 | Edições Nosso Conhecimento | EAN 9786209446788 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Condición: Neu. Lösung des Problems der Prüfungsplanung mithilfe genetischer Algorithmen | Omar Ibrahim Obaid (u. a.) | Taschenbuch | 164 S. | Deutsch | 2026 | Verlag Unser Wissen | EAN 9786209433986 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mohammed Mazin AbedMazin Abed Mohammed B.Sc.Degree in Computer Science from College of Computer, University of Anbar,Iraq 2008.Master of Information Technology, College of IT, Universiti Tenaga Nasional ,Malaysia 2011.Working as a T.…

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Many researchers over the last decade have established numerous researches and used many methods to handle universities' final examination timetabling problem, such as simulated annealing, tabu search and genetic algorithms. In this Book, Genetic Algorithm (GA) is used to solve the College of Graduate Studies (CoGS) final examination timetabling problem as it is capable of solving many complex problems. This problem belongs to a class of scheduling problems which is highly constrained and known to be NP-hard. The algorithm has been adapted to solve the research problem whose procedure is different from the common algorithm. The Book attempts to find the best solution (best timetable) for CoGS to help UNITEN reduce time and effort for creating examination timetables. New approaches to some of the GAs operators are introduced. These operators include Adaptive Mutation operator that tackles the stasis problem and a crossover scheme called Scattered Crossover to enhance the GA's ability to produce better solutions with best fitness value in lesser generations. 184 pp. Englisch.…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Obaid Omar IbrahimOmar Ibrahim Obaid received B.Sc.Degree in Computer Science from the University of Dyala,Iraq,in 2007.Master of Information Technology, Universiti Tenaga Nasional Malaysia 2011.Working as a Teacher Assistance Colleg.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Many researchers over the last decade have established numerous researches and used many methods to handle universities' final examination timetabling problem, such as simulated annealing, tabu search and genetic algorithms. In this Book, Genetic Algorithm (GA) is used to solve the College of Graduate Studies (CoGS) final examination timetabling problem as it is capable of solving many complex problems. This problem belongs to a class of scheduling problems which is highly constrained and known to be NP-hard. The algorithm has been adapted to solve the research problem whose procedure is different from the common algorithm. The Book attempts to find the best solution (best timetable) for CoGS to help UNITEN reduce time and effort for creating examination timetables. New approaches to some of the GAs operators are introduced. These operators include Adaptive Mutation operator that tackles the stasis problem and a crossover scheme called Scattered Crossover to enhance the GA's ability to produce better solutions with best fitness value in lesser generations.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Many researchers over the last decade have established numerous researches and used many methods to handle universities' final examination timetabling problem, such as simulated annealing, tabu search and genetic algorithms. In this Book, Genetic Algorithm (GA) is used to solve the College of Graduate Studies (CoGS) final examination timetabling problem as it is capable of solving many complex problems. This problem belongs to a class of scheduling problems which is highly constrained and known to be NP-hard. The algorithm has been adapted to solve the research problem whose procedure is different from the common algorithm. The Book attempts to find the best solution (best timetable) for CoGS to help UNITEN reduce time and effort for creating examination timetables. New approaches to some of the GAs operators are introduced. These operators include Adaptive Mutation operator that tackles the stasis problem and a crossover scheme called Scattered Crossover to enhance the GA's ability to produce better solutions with best fitness value in lesser generations.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 184 pp. Englisch.…