Verwandte Artikel zu General Meta-heuristic Search Algorithms: Generalised...
General Meta-heuristic Search Algorithms: Generalised Modelling of Combinatorial Problems - Softcover
Inhaltsangabe
In recent years, there have been many studies in which tailored heuristics and meta-heuristics have been applied to specific optimisation problems. These algorithms can be extremely efficient, but may also lack generality. In contrast, the research outlined in this monograph focuses on building a general-purpose combinatorial optimisation problem solver using a variety of meta-heuristic algorithms including Simulated Annealing and Tabu Search. The work is novel because it uses a modelling environment in which the solution is stored in dense dynamic list structures, unlike a more conventional sparse vector notation. Because of this, it incorporates a number of neighbourhood search operators that are normally only found in tailored algorithms and it performs well on a range of problems. The general nature of the outlined system allows a model developer to rapidly prototype different problems. The results indicate that the system achieves good performance in terms of solution quality and runtime on a range of combinatorial problems.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Reseña del editor
In recent years, there have been many studies in which tailored heuristics and meta-heuristics have been applied to specific optimisation problems. These algorithms can be extremely efficient, but may also lack generality. In contrast, the research outlined in this monograph focuses on building a general-purpose combinatorial optimisation problem solver using a variety of meta-heuristic algorithms including Simulated Annealing and Tabu Search. The work is novel because it uses a modelling environment in which the solution is stored in dense dynamic list structures, unlike a more conventional sparse vector notation. Because of this, it incorporates a number of neighbourhood search operators that are normally only found in tailored algorithms and it performs well on a range of problems. The general nature of the outlined system allows a model developer to rapidly prototype different problems. The results indicate that the system achieves good performance in terms of solution quality and runtime on a range of combinatorial problems.
Biografía del autor
Dr Randall is an associate professor at Bond University, Australia. He is a computer scientist with research interests in combinatorial optimisation, heuristics and search algorithms. Marcus has also published over sixty peer reviewed works including a number of books, chapters for books, journal and conference articles.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
EUR 151,49
EUR 28,95 für den Versand von Vereinigtes Königreich nach Deutschland
Versandziele, Kosten & DauerNeu kaufen
Diesen Artikel anzeigen
EUR 60,51
Gratis für den Versand innerhalb von/der Deutschland
Versandziele, Kosten & DauerSuchergebnisse für General Meta-heuristic Search Algorithms: Generalised...
Foto des Verkäufers
General Meta-heuristic Search Algorithms
Verlag:
VDM Verlag Dr. Müller, 2010
ISBN 10: 3639267680
ISBN 13: 9783639267686
Neu
Kartoniert / Broschiert
Anbieter: moluna, Greven, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Kartoniert / Broschiert. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Randall MarcusDr Randall is an associate professor at Bond University, Australia. He is a computer scientist with research interests in combinatorial optimisation, heuristics and search algorithms. Marcus has also published over s. Bestandsnummer des Verkäufers 4972472
Anzahl: Mehr als 20 verfügbar
Foto des Verkäufers
General Meta-heuristic Search Algorithms : Generalised Modelling of Combinatorial Problems
Print-on-DemandAnbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In recent years, there have been many studies in which tailored heuristics and meta-heuristics have been applied to specific optimisation problems. These algorithms can be extremely efficient, but may also lack generality. In contrast, the research outlined in this monograph focuses on building a general-purpose combinatorial optimisation problem solver using a variety of meta-heuristic algorithms including Simulated Annealing and Tabu Search. The work is novel because it uses a modelling environment in which the solution is stored in dense dynamic list structures, unlike a more conventional sparse vector notation. Because of this, it incorporates a number of neighbourhood search operators that are normally only found in tailored algorithms and it performs well on a range of problems. The general nature of the outlined system allows a model developer to rapidly prototype different problems. The results indicate that the system achieves good performance in terms of solution quality and runtime on a range of combinatorial problems. Bestandsnummer des Verkäufers 9783639267686
Anzahl: 1 verfügbar
Foto des Verkäufers
General Meta-heuristic Search Algorithms
Verlag:
VDM Verlag Dr. Müller E.K. Feb 2013, 2013
ISBN 10: 3639267680
ISBN 13: 9783639267686
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Neuware -In recent years, there have been many studies in which tailored heuristics and meta-heuristics have been applied to specific optimisation problems. These algorithms can be extremely efficient, but may also lack generality. In contrast, the research outlined in this monograph focuses on building a general-purpose combinatorial optimisation problem solver using a variety of meta-heuristic algorithms including Simulated Annealing and Tabu Search. The work is novel because it uses a modelling environment in which the solution is stored in dense dynamic list structures, unlike a more conventional sparse vector notation. Because of this, it incorporates a number of neighbourhood search operators that are normally only found in tailored algorithms and it performs well on a range of problems. The general nature of the outlined system allows a model developer to rapidly prototype different problems. The results indicate that the system achieves good performance in terms of solution quality and runtime on a range of combinatorial problems.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 216 pp. Englisch. Bestandsnummer des Verkäufers 9783639267686
Anzahl: 2 verfügbar
Foto des Verkäufers
General Meta-heuristic Search Algorithms
Verlag:
VDM Verlag Dr. Müller E.K. Feb 2013, 2013
ISBN 10: 3639267680
ISBN 13: 9783639267686
Neu
Taschenbuch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In recent years, there have been many studies in which tailored heuristics and meta-heuristics have been applied to specific optimisation problems. These algorithms can be extremely efficient, but may also lack generality. In contrast, the research outlined in this monograph focuses on building a general-purpose combinatorial optimisation problem solver using a variety of meta-heuristic algorithms including Simulated Annealing and Tabu Search. The work is novel because it uses a modelling environment in which the solution is stored in dense dynamic list structures, unlike a more conventional sparse vector notation. Because of this, it incorporates a number of neighbourhood search operators that are normally only found in tailored algorithms and it performs well on a range of problems. The general nature of the outlined system allows a model developer to rapidly prototype different problems. The results indicate that the system achieves good performance in terms of solution quality and runtime on a range of combinatorial problems. 216 pp. Englisch. Bestandsnummer des Verkäufers 9783639267686
Anzahl: 2 verfügbar
Beispielbild für diese ISBN
General Meta-heuristic Search Algorithms: Generalised Modelling of Combinatorial Problems
Anbieter: Mispah books, Redhill, SURRE, Vereinigtes Königreich
Verkäuferbewertung 4 von 5 Sternen
Paperback. Zustand: Like New. Like New. book. Bestandsnummer des Verkäufers ERICA79036392676806
Anzahl: 1 verfügbar