Idioma: Inglés
Publicado por Oxford University Press, 2013
ISBN 10: 0199600317 ISBN 13: 9780199600311
Librería: The Book Junction, Shippensburg, PA, Estados Unidos de America
EUR 31,15
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: VG. Estado de la sobrecubierta: VG. DJ: some rubbing & edgewear; small creases/cump on edges & corners. Book: some rubbing & edgewear; small corner bump; overall clean & tight. 239 pages.
Idioma: Inglés
Publicado por Oxford University Press OUP, 2013
ISBN 10: 0199600317 ISBN 13: 9780199600311
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 58,82
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. pp. 272 1st edition.
Idioma: Inglés
Publicado por Oxford University Press, 2013
ISBN 10: 0199600317 ISBN 13: 9780199600311
Librería: Majestic Books, Hounslow, Reino Unido
EUR 55,65
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. pp. 272 6 Illus.
Idioma: Inglés
Publicado por Oxford University Press, 2013
ISBN 10: 0199600317 ISBN 13: 9780199600311
Librería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de America
EUR 64,97
Cantidad disponible: 5 disponibles
Añadir al carritoCondición: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Idioma: Inglés
Publicado por Oxford University Press, 2013
ISBN 10: 0199600317 ISBN 13: 9780199600311
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 56,45
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. pp. 272.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2016
ISBN 10: 365991312X ISBN 13: 9783659913129
Librería: preigu, Osnabrück, Alemania
EUR 59,40
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Improving the Bees Algorithm for Complex Optimisation Problems | Sameh Otri | Taschenbuch | 228 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659913129 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2016
ISBN 10: 365991312X ISBN 13: 9783659913129
Librería: Revaluation Books, Exeter, Reino Unido
EUR 127,45
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: Brand New. 228 pages. 8.66x5.91x0.52 inches. In Stock.
Idioma: Inglés
Publicado por Oxford University Press, 2013
ISBN 10: 0199600317 ISBN 13: 9780199600311
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 147,63
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Oxford University Press, 2013
ISBN 10: 0199600317 ISBN 13: 9780199600311
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 147,06
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Oxford University Press, 2013
ISBN 10: 0199600317 ISBN 13: 9780199600311
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 168,76
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Oxford University Press, 2013
ISBN 10: 0199600317 ISBN 13: 9780199600311
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 174,79
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 219,46
Cantidad disponible: 2 disponibles
Añadir al carritoHardcover. Condición: Brand New. 239 pages. 8.50x5.50x1.00 inches. In Stock.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Jun 2016, 2016
ISBN 10: 365991312X ISBN 13: 9783659913129
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 69,90
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -An improved swarm-based optimization algorithm from the Bees Algorithm family for solving complex optimization problems is proposed. The algorithm performs a form of exploitative local search combined with random exploratory global search. This thesis details the development and optimization of this algorithm and demonstrates its robustness. The development includes a new method of tuning the Bees Algorithm called Meta Bees Algorithm and the functionality of the proposed method is compared to the standard Bees Algorithm and to a range of state-of-the-art optimisation algorithms. A new fitness evaluation method has been developed to enable the Bees Algorithm to solve a stochastic optimisation problem. The new modified Bees Algorithm was tested on the optimisation of parameter values for the Ant Colony Optimisation algorithm when solving Travelling Salesman Problems. Finally, the Bees Algorithm has been adapted and employed to solve complex combinatorial problems. The algorithm has been combined with two neighbourhood operators to solve such problems. The performance of the proposed Bees Algorithm has been tested on a number of travelling salesman problems. 228 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2016
ISBN 10: 365991312X ISBN 13: 9783659913129
Librería: moluna, Greven, Alemania
EUR 56,63
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Otri SamehDr. Otri is an assistant Professor in the College of Computer at Qassim University in the Kingdom of Saudi Arabia since 2013. Dr. Otri holds a PhD and an MSc from Cardiff University in Wales. His undergraduate degree is fro.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Jun 2016, 2016
ISBN 10: 365991312X ISBN 13: 9783659913129
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 69,90
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -An improved swarm-based optimization algorithm from the Bees Algorithm family for solving complex optimization problems is proposed. The algorithm performs a form of exploitative local search combined with random exploratory global search. This thesis details the development and optimization of this algorithm and demonstrates its robustness. The development includes a new method of tuning the Bees Algorithm called Meta Bees Algorithm and the functionality of the proposed method is compared to the standard Bees Algorithm and to a range of state-of-the-art optimisation algorithms. A new fitness evaluation method has been developed to enable the Bees Algorithm to solve a stochastic optimisation problem. The new modified Bees Algorithm was tested on the optimisation of parameter values for the Ant Colony Optimisation algorithm when solving Travelling Salesman Problems. Finally, the Bees Algorithm has been adapted and employed to solve complex combinatorial problems. The algorithm has been combined with two neighbourhood operators to solve such problems. The performance of the proposed Bees Algorithm has been tested on a number of travelling salesman problems.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 228 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2016
ISBN 10: 365991312X ISBN 13: 9783659913129
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 69,90
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - An improved swarm-based optimization algorithm from the Bees Algorithm family for solving complex optimization problems is proposed. The algorithm performs a form of exploitative local search combined with random exploratory global search. This thesis details the development and optimization of this algorithm and demonstrates its robustness. The development includes a new method of tuning the Bees Algorithm called Meta Bees Algorithm and the functionality of the proposed method is compared to the standard Bees Algorithm and to a range of state-of-the-art optimisation algorithms. A new fitness evaluation method has been developed to enable the Bees Algorithm to solve a stochastic optimisation problem. The new modified Bees Algorithm was tested on the optimisation of parameter values for the Ant Colony Optimisation algorithm when solving Travelling Salesman Problems. Finally, the Bees Algorithm has been adapted and employed to solve complex combinatorial problems. The algorithm has been combined with two neighbourhood operators to solve such problems. The performance of the proposed Bees Algorithm has been tested on a number of travelling salesman problems.