Da: The Book Junction, Shippensburg, PA, U.S.A.
Hardcover. Condizione: VG. Condizione sovraccoperta: VG. DJ: some rubbing & edgewear; small creases/cump on edges & corners. Book: some rubbing & edgewear; small corner bump; overall clean & tight. 239 pages.
Lingua: Inglese
Editore: Oxford University Press OUP, 2013
ISBN 10: 0199600317 ISBN 13: 9780199600311
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 272 1st edition.
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Aggiungi al carrelloCondizione: New. pp. 272.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2016
ISBN 10: 365991312X ISBN 13: 9783659913129
Da: preigu, Osnabrück, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: 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.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2016
ISBN 10: 365991312X ISBN 13: 9783659913129
Da: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloHardcover. Condizione: Brand New. 239 pages. 8.50x5.50x1.00 inches. In Stock.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Jun 2016, 2016
ISBN 10: 365991312X ISBN 13: 9783659913129
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: 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.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2016
ISBN 10: 365991312X ISBN 13: 9783659913129
Da: moluna, Greven, Germania
EUR 56,63
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Aggiungi al carrelloCondizione: 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.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Jun 2016, 2016
ISBN 10: 365991312X ISBN 13: 9783659913129
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 69,90
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Aggiungi al carrelloTaschenbuch. Condizione: 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.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2016
ISBN 10: 365991312X ISBN 13: 9783659913129
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 69,90
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: 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.