Isbn: 9783031137136 - design of heuristic algorithms for hard optimization: with python codes for the travelling salesman problem (graduate texts in operations research) (16 resultados)

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  • Idioma: Inglés

    Editorial: Springer, 2022

    3031137132 / 9783031137136

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    Editorial: Springer International Publishing AG, Cham, 2022

    3031137132 / 9783031137136

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    Hardcover. Condición: new. Hardcover. This open access book demonstrates all the steps required to design heuristic algorithms for difficult optimization. The classic problem of the travelling salesman is used as a common thread to illustrate all the techniques discussed. This problem is ideal for introducing readers to the subject because it is very intuitive and its solutions can be graphically represented. The book features a wealth of illustrations that allow the concepts to be understood at a glance. The book approaches the main metaheuristics from a new angle, deconstructing them into a few key concepts presented in separate chapters: construction, improvement, decomposition, randomization and learning methods. Each metaheuristic can then be presented in simplified form as a combination of these concepts. This approach avoids giving the impression that metaheuristics is a non-formal discipline, a kind of cloud sculpture. Moreover, it provides concrete applications of the travelling salesman problem, whichillustrate in just a few lines of code how to design a new heuristic and remove all ambiguities left by a general framework. Two chapters reviewing the basics of combinatorial optimization and complexity theory make the book self-contained. As such, even readers with a very limited background in the field will be able to follow all the content. The book features a wealth of illustrations that allow the concepts to be understood at a glance. The book approaches the main metaheuristics from a new angle, deconstructing them into a few key concepts presented in separate chapters: construction, improvement, decomposition, randomization and learning methods. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

  • Idioma: Inglés

    Editorial: Springer, 2022

    3031137132 / 9783031137136

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  • Idioma: Inglés

    Editorial: Springer, 2022

    3031137132 / 9783031137136

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    Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections

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  • Idioma: Inglés

    Editorial: Springer, 2022

    3031137132 / 9783031137136

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    Editorial: Springer, 2022

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    Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle

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  • Idioma: Inglés

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    3031137132 / 9783031137136

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  • Idioma: Inglés

    Editorial: Springer, 2022

    3031137132 / 9783031137136

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    Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books

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    Hardcover. Condición: Brand New. 287 pages. 9.50x6.25x1.00 inches. In Stock.

  • Idioma: Inglés

    Editorial: Springer, 2022

    3031137132 / 9783031137136

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    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This open access book demonstrates all the steps required to design heuristic algorithms for difficult optimization. The classic problem of the travelling salesman is used as a common thread to illustrate all the techniques discussed. This problem is ideal for introducing readers to the subject because it is very intuitive and its solutions can be graphically represented. The book features a wealth of illustrations that allow the concepts to be understood at a glance. The book approaches the main metaheuristics from a new angle, deconstructing them into a few key concepts presented in separate chapters: construction, improvement, decomposition, randomization and learning methods. Each metaheuristic can then be presented in simplified form as a combination of these concepts. This approach avoids giving the impression that metaheuristics is a non-formal discipline, a kind of cloud sculpture. Moreover, it provides concrete applications of the travelling salesman problem, whichillustrate in just a few lines of code how to design a new heuristic and remove all ambiguities left by a general framework. Two chapters reviewing the basics of combinatorial optimization and complexity theory make the book self-contained. As such, even readers with a very limited background in the field will be able to follow all the content.

  • Idioma: Inglés

    Editorial: Springer International Publishing AG, Cham, 2022

    3031137132 / 9783031137136

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    Hardcover. Condición: new. Hardcover. This open access book demonstrates all the steps required to design heuristic algorithms for difficult optimization. The classic problem of the travelling salesman is used as a common thread to illustrate all the techniques discussed. This problem is ideal for introducing readers to the subject because it is very intuitive and its solutions can be graphically represented. The book features a wealth of illustrations that allow the concepts to be understood at a glance. The book approaches the main metaheuristics from a new angle, deconstructing them into a few key concepts presented in separate chapters: construction, improvement, decomposition, randomization and learning methods. Each metaheuristic can then be presented in simplified form as a combination of these concepts. This approach avoids giving the impression that metaheuristics is a non-formal discipline, a kind of cloud sculpture. Moreover, it provides concrete applications of the travelling salesman problem, whichillustrate in just a few lines of code how to design a new heuristic and remove all ambiguities left by a general framework. Two chapters reviewing the basics of combinatorial optimization and complexity theory make the book self-contained. As such, even readers with a very limited background in the field will be able to follow all the content. The book features a wealth of illustrations that allow the concepts to be understood at a glance. The book approaches the main metaheuristics from a new angle, deconstructing them into a few key concepts presented in separate chapters: construction, improvement, decomposition, randomization and learning methods. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

  • Idioma: Inglés

    Editorial: Springer, 2022

    3031137132 / 9783031137136

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    Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books

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    EUR 54,06

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    Hardcover. Condición: Brand New. 287 pages. 9.50x6.25x1.00 inches. In Stock. This item is printed on demand.

  • Idioma: Inglés

    Editorial: Springer International Publishing Okt 2022, 2022

    3031137132 / 9783031137136

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    Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

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    Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This open access book demonstrates all the steps required to design heuristic algorithms for difficult optimization. The classic problem of the travelling salesman is used as a common thread to illustrate all the techniques discussed. This problem is ideal for introducing readers to the subject because it is very intuitive and its solutions can be graphically represented. The book features a wealth of illustrations that allow the concepts to be understood at a glance. The book approaches the main metaheuristics from a new angle, deconstructing them into a few key concepts presented in separate chapters: construction, improvement, decomposition, randomization and learning methods. Each metaheuristic can then be presented in simplified form as a combination of these concepts. This approach avoids giving the impression that metaheuristics is a non-formal discipline, a kind of cloud sculpture. Moreover, it provides concrete applications of the travelling salesman problem, which illustrate in just a few lines of code how to design a new heuristic and remove all ambiguities left by a general framework. Two chapters reviewing the basics of combinatorial optimization and complexity theory make the book self-contained. As such, even readers with a very limited background in the field will be able to follow all the content. 304 pp. Englisch.

  • Idioma: Inglés

    Editorial: Springer, 2022

    3031137132 / 9783031137136

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    Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books

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  • Idioma: Inglés

    Editorial: Springer, 2022

    3031137132 / 9783031137136

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    Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios

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  • Idioma: Inglés

    Editorial: Springer International Publishing, 2022

    3031137132 / 9783031137136

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    Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book is open access, which means that you have free and unlimited accessOffers step-by-step procedures for the design of heuristic algorithmsContains numerous short illustrative codes for the travelling salesman problemCovers th.

  • Idioma: Inglés

    Editorial: Springer International Publishing, Springer International Publishing Okt 2022, 2022

    3031137132 / 9783031137136

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    Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This open access book demonstrates all the steps required to design heuristic algorithms for difficult optimization. The classic problem of the travelling salesman is used as a common thread to illustrate all the techniques discussed. This problem is ideal for introducing readers to the subject because it is very intuitive and its solutions can be graphically represented. The book features a wealth of illustrations that allow the concepts to be understood at a glance.The book approaches the main metaheuristics from a new angle, deconstructing them into a few key concepts presented in separate chapters: construction, improvement, decomposition, randomization and learning methods. Each metaheuristic can then be presented in simplified form as a combination of these concepts. This approach avoids giving the impression that metaheuristics is a non-formal discipline, a kind of cloud sculpture. Moreover, it provides concrete applications of the travelling salesman problem, whichillustrate in just a few lines of code how to design a new heuristic and remove all ambiguities left by a general framework. Two chapters reviewing the basics of combinatorial optimization and complexity theory make the book self-contained. As such, even readers with a very limited background in the field will be able to follow all the content.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 304 pp. Englisch.