Elsayed amin (35 résultats)
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PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
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EUR 20,06
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Hardcover. Etat : New. Reclaiming Jihad Brand new item sourced directly from publisher. Packed securely in tight packaging to ensure no damage. Shipped from warehouse on same/next day basis.
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Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-UniTHE SAINT BOOKSTORE
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EUR 20,27
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Paperback / softback. Etat : New. New copy - Usually dispatched within 4 working days.
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Vendeur : Ria Christie Collections, Uxbridge, Royaume-UniRia Christie Collections
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Etat : New. In English.
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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-UniGreatBookPricesUK
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EUR 20,26
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Etat : New.
Langue : anglais
Edité par Cham, Springer International Publishing : Imprint: Springer. 2022
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- Édition originale
Vendeur : Universitätsbuchhandlung Herta Hold GmbH, Berlin, AllemagneUniversitätsbuchhandlung Herta Hold GmbH
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EUR 19,00
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1st ed. 2022. VIII, 214 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Adaptation, Learning, and Optimization, 26. Sprache: Eng…lisch.
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Vendeur : moluna, Greven, Allemagnemoluna
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EUR 25,99
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Kartoniert / Broschiert. Etat : New. Using the Qur an exegetical tradition, this study presents a major critique of terrorism and attempts to establish violence between Muslims and non-Muslims as normative through misreadings of the Qur an.Über den AutorrnrnEl-Sayed A.
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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-UniGreatBookPricesUK
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EUR 73,23
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Vendeur : AHA-BUCH GmbH, Einbeck, AllemagneAHA-BUCH GmbH
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EUR 30,82
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Taschenbuch. Etat : Neu. Neuware - A critique of the radical misreadings of the Qur'an that are used to promote violence between Muslims and non-Muslims.
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Vendeur : Basi6 International, Irving, TX, Etats-UnisBasi6 International
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EUR 132,61
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Etat : Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Vendeur : Ria Christie Collections, Uxbridge, Royaume-UniRia Christie Collections
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EUR 152,34
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Vendeur : Ria Christie Collections, Uxbridge, Royaume-UniRia Christie Collections
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EUR 152,34
EUR 13,89 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : Plus de 20 disponibles
Etat : New. In.
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Vendeur : Books Puddle, New York, NY, Etats-UnisBooks Puddle
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EUR 169,95
EUR 3,50 expéditionExpédition nationale : Etats-UnisQuantité disponible : 1 disponible(s)
Etat : New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
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Vendeur : Majestic Books, Hounslow, Royaume-UniMajestic Books
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EUR 179,21
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Etat : New.
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Vendeur : Books Puddle, New York, NY, Etats-UnisBooks Puddle
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EUR 216,37
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Etat : New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
Autres images- Couverture souple
Vendeur : preigu, Osnabrück, Allemagnepreigu
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EUR 140,00
EUR 70,00 expéditionExpédition depuis Allemagne vers Etats-UnisQuantité disponible : 5 disponible(s)
Taschenbuch. Etat : Neu. Evolutionary and Memetic Computing for Project Portfolio Selection and Scheduling | Kyle Robert Harrison (u. a.) | Taschenbuch | viii | Englisch | 2022 | Springer International Publishing | EAN 9783030883171 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, j…uergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Vendeur : AHA-BUCH GmbH, Einbeck, AllemagneAHA-BUCH GmbH
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EUR 160,49
EUR 61,74 expéditionExpédition depuis Allemagne vers Etats-UnisQuantité disponible : 1 disponible(s)
Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book consists of eight chapters, authored by distinguished researchers and practitioners, that highlight the state of the art and recent trends in addressing the project portfolio selection and scheduling problem (PPSSP) across a variety of domain…s, particularly defense, social programs, supply chains, and finance. Many organizations face the challenge of selecting and scheduling a subset of available projects subject to various resource and operational constraints. In the simplest scenario, the primary objective for an organization is to maximize the value added through funding and implementing a portfolio of projects, subject to the available budget. However, there are other major difficulties that are often associated with this problem such as qualitative project benefits, multiple conflicting objectives, complex project interdependencies, workforce and manufacturing constraints, and deep uncertainty regarding project costs, benefits, and completion times.It is well known that the PPSSP is an NP-hard problem and, thus, there is no known polynomial-time algorithm for this problem. Despite the complexity associated with solving the PPSSP, many traditional approaches to this problem make use of exact solvers. While exact solvers provide definitive optimal solutions, they quickly become prohibitively expensive in terms of computation time when the problem size is increased. In contrast, evolutionary and memetic computing afford the capability for autonomous heuristic approaches and expert knowledge to be combined and thereby provide an efficient means for high-quality approximation solutions to be attained. As such, these approaches can provide near real-time decision support information for portfolio design that can be used to augment and improve existing human-centric strategic decision-making processes. This edited book provides the reader with a broad overview of the PPSSP, its associated challenges, and approaches to addressing the problem using evolutionary and memetic computing.
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Vendeur : AHA-BUCH GmbH, Einbeck, AllemagneAHA-BUCH GmbH
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EUR 160,49
EUR 62,53 expéditionExpédition depuis Allemagne vers Etats-UnisQuantité disponible : 1 disponible(s)
Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book consists of eight chapters, authored by distinguished researchers and practitioners, that highlight the state of the art and recent trends in addressing the project portfolio selection and scheduling problem (PPSSP) across a variety of domains, part…icularly defense, social programs, supply chains, and finance. Many organizations face the challenge of selecting and scheduling a subset of available projects subject to various resource and operational constraints. In the simplest scenario, the primary objective for an organization is to maximize the value added through funding and implementing a portfolio of projects, subject to the available budget. However, there are other major difficulties that are often associated with this problem such as qualitative project benefits, multiple conflicting objectives, complex project interdependencies, workforce and manufacturing constraints, and deep uncertainty regarding project costs, benefits, and completion times.It is well known that the PPSSP is an NP-hard problem and, thus, there is no known polynomial-time algorithm for this problem. Despite the complexity associated with solving the PPSSP, many traditional approaches to this problem make use of exact solvers. While exact solvers provide definitive optimal solutions, they quickly become prohibitively expensive in terms of computation time when the problem size is increased. In contrast, evolutionary and memetic computing afford the capability for autonomous heuristic approaches and expert knowledge to be combined and thereby provide an efficient means for high-quality approximation solutions to be attained. As such, these approaches can provide near real-time decision support information for portfolio design that can be used to augment and improve existing human-centric strategic decision-making processes. This edited book provides the reader with a broad overview of the PPSSP, its associated challenges, and approaches to addressing the problem using evolutionary and memetic computing.
Evolutionary and Memetic Computing for Project Portfolio Selection and Scheduling: 26 (Adaptation, Learning, and Optimization, 26)
Harrison, Kyle Robert (Editor) / Elsayed, Saber (Editor) / Garanovich, Ivan Leonidovich (Editor) / Weir, Terence (Editor) / Boswell, Sharon G. (Editor) / Sarker, Ruhul Amin (Editor)
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Vendeur : Revaluation Books, Exeter, Royaume-UniRevaluation Books
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EUR 236,24
EUR 11,59 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : 2 disponible(s)
Paperback. Etat : Brand New. 222 pages. 9.25x6.10x0.47 inches. In Stock.
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- impression à la demande
Vendeur : YESIBOOKSTORE, MIAMI, FL, Etats-UnisYESIBOOKSTORE
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EUR 123,99
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hardcover. Etat : As New. This item is printed on demand.
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Vendeur : Brook Bookstore On Demand, Napoli, NA, ItalieBrook Bookstore On Demand
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EUR 126,26
EUR 5,50 expéditionExpédition depuis Italie vers Etats-UnisQuantité disponible : Plus de 20 disponibles
Etat : new. Questo è un articolo print on demand.
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Vendeur : Brook Bookstore On Demand, Napoli, NA, ItalieBrook Bookstore On Demand
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EUR 126,26
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Etat : new. Questo è un articolo print on demand.
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AllemagneBuchWeltWeit Ludwig Meier e.K.
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EUR 160,49
EUR 23,00 expéditionExpédition depuis Allemagne vers Etats-UnisQuantité disponible : 2 disponible(s)
Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book consists of eight chapters, authored by distinguished researchers and practitioners, that highlight the state of the art and recent trends in addressing the project portfolio selection and scheduling problem (PPSSP) across a variety…of domains, particularly defense, social programs, supply chains, and finance. Many organizations face the challenge of selecting and scheduling a subset of available projects subject to various resource and operational constraints. In the simplest scenario, the primary objective for an organization is to maximize the value added through funding and implementing a portfolio of projects, subject to the available budget. However, there are other major difficulties that are often associated with this problem such as qualitative project benefits, multiple conflicting objectives, complex project interdependencies, workforce and manufacturing constraints, and deep uncertainty regarding project costs, benefits, and completion times.It is well known that the PPSSP is an NP-hard problem and, thus, there is no known polynomial-time algorithm for this problem. Despite the complexity associated with solving the PPSSP, many traditional approaches to this problem make use of exact solvers. While exact solvers provide definitive optimal solutions, they quickly become prohibitively expensive in terms of computation time when the problem size is increased. In contrast, evolutionary and memetic computing afford the capability for autonomous heuristic approaches and expert knowledge to be combined and thereby provide an efficient means for high-quality approximation solutions to be attained. As such, these approaches can provide near real-time decision support information for portfolio design that can be used to augment and improve existing human-centric strategic decision-making processes. This edited book provides the reader with a broad overview of the PPSSP, its associated challenges, and approaches to addressing the problem using evolutionary and memetic computing. 224 pp. Englisch.
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- impression à la demande
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AllemagneBuchWeltWeit Ludwig Meier e.K.
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 160,49
EUR 23,00 expéditionExpédition depuis Allemagne vers Etats-UnisQuantité disponible : 2 disponible(s)
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book consists of eight chapters, authored by distinguished researchers and practitioners, that highlight the state of the art and recent trends in addressing the project portfolio selection and scheduling problem (PPSSP) across a v…ariety of domains, particularly defense, social programs, supply chains, and finance. Many organizations face the challenge of selecting and scheduling a subset of available projects subject to various resource and operational constraints. In the simplest scenario, the primary objective for an organization is to maximize the value added through funding and implementing a portfolio of projects, subject to the available budget. However, there are other major difficulties that are often associated with this problem such as qualitative project benefits, multiple conflicting objectives, complex project interdependencies, workforce and manufacturing constraints, and deep uncertainty regarding project costs, benefits, and completion times.It is well known that the PPSSP is an NP-hard problem and, thus, there is no known polynomial-time algorithm for this problem. Despite the complexity associated with solving the PPSSP, many traditional approaches to this problem make use of exact solvers. While exact solvers provide definitive optimal solutions, they quickly become prohibitively expensive in terms of computation time when the problem size is increased. In contrast, evolutionary and memetic computing afford the capability for autonomous heuristic approaches and expert knowledge to be combined and thereby provide an efficient means for high-quality approximation solutions to be attained. As such, these approaches can provide near real-time decision support information for portfolio design that can be used to augment and improve existing human-centric strategic decision-making processes. This edited book provides the reader with a broad overview of the PPSSP, its associated challenges, and approaches to addressing the problem using evolutionary and memetic computing. 224 pp. Englisch.
Langue : anglais
Edité par Springer, Berlin|Springer International Publishing|Springer 2022
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- impression à la demande
Vendeur : moluna, Greven, Allemagnemoluna
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EUR 136,16
EUR 48,99 expéditionExpédition depuis Allemagne vers Etats-UnisQuantité disponible : Plus de 20 disponibles
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book consists of eight chapters, authored by distinguished researchers and practitioners, that highlight the state of the art and recent trends in addressing the project portfolio selection and scheduling problem (PP…SSP) across a variety of domains..
