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A UNIFIED CONCEPTUAL FRAMEWORK FOR GEOGRAPHICAL OPTIMIZATION USING EVOLUTIONARY ALGORITHMS
Published by Annals Assoc Amer Geog, 2008
Magazine / Periodical
Pamphlet. Condition: Very Good. Vol 98, No 4, pp. 795-817, Maps, Illus, 4to, Extracted from orig vol, thus begins with title page, trimmed & stapled pamphlet, else VG.
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Paperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 2.35.
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Optimization Using Evolutionary Algorithms and Metaheuristics: Applications in Engineering
Published by Taylor & Francis Ltd, 2021
ISBN 10: 0367779315 ISBN 13: 9780367779313
Language: English
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Multi-Objective Optimization Using Evolutionary Algorithms
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Multi-Objective Optimization Using Evolutionary Algorithms
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Optimization Using Evolutionary Algorithms and Metaheuristics : Applications in Engineering
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Optimization Using Evolutionary Algorithms and Metaheuristics : Applications in Engineering
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Optimization Using Evolutionary Algorithms and Metaheuristics (Science, Technology, and Management)
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Optimization Using Evolutionary Algorithms and Metaheuristics: Applications in Engineering
Published by CRC Press 2021-03-31, 2021
ISBN 10: 0367779315 ISBN 13: 9780367779313
Language: English
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Multi-Objective Optimization Using Evolutionary Algorithms
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Multi-Objective Optimization Using Evolutionary Algorithms
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Multi-Objective Optimization Using Evolutionary Algorithms (Paperback)
Published by John Wiley & Sons Inc, New York, 2008
ISBN 10: 0470743611 ISBN 13: 9780470743614
Language: English
First Edition
Paperback. Condition: new. Paperback. The Wiley Paperback Series makes valuable content more accessible to a new generation of statisticians, mathematicians and scientists. Evolutionary algorithms are very powerful techniques used to find solutions to real-world search and optimization problems. Many of these problems have multiple objectives, which leads to the need to obtain a set of optimal solutions, known as effective solutions. It has been found that using evolutionary algorithms is a highly effective way of finding multiple effective solutions in a single simulation run. Comrephensive coverage of this growing area of research.Carefully introduces each algorithm with examples and in-depth discussion.Includes many applications to real-world problems, including engineering design and scheduling.Includes discussion of advanced topics and future research.Accessible to those with limited knowledge of multi-objective optimization and evolutionary algorithms Provides an extensive discussion on the principles of multi-objective optimization and on a number of classical approaches. This integrated presentation of theory, algorithms and examples will benefit those working in the areas of optimization, optimal design and evolutionary computing. Comprehensive coverage of this growing area of research. Carefully introduces each algorithm with examples and in-depth discussion. Includes many applications to real-world problems, including engineering design and scheduling. Accessible to those with limited knowledge of multi-objective optimization and evolutionary algorithms. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Add to basketPaperback. Condition: Brand New. 148 pages. 9.00x6.00x0.25 inches. In Stock.
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Condition: New. pp. 544.
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Multi-Objective Optimization Using Evolutionary Algorithms (Paperback)
Published by John Wiley & Sons Inc, New York, 2008
ISBN 10: 0470743611 ISBN 13: 9780470743614
Language: English
First Edition
US$ 91.87
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Add to basketPaperback. Condition: new. Paperback. The Wiley Paperback Series makes valuable content more accessible to a new generation of statisticians, mathematicians and scientists. Evolutionary algorithms are very powerful techniques used to find solutions to real-world search and optimization problems. Many of these problems have multiple objectives, which leads to the need to obtain a set of optimal solutions, known as effective solutions. It has been found that using evolutionary algorithms is a highly effective way of finding multiple effective solutions in a single simulation run. Comrephensive coverage of this growing area of research.Carefully introduces each algorithm with examples and in-depth discussion.Includes many applications to real-world problems, including engineering design and scheduling.Includes discussion of advanced topics and future research.Accessible to those with limited knowledge of multi-objective optimization and evolutionary algorithms Provides an extensive discussion on the principles of multi-objective optimization and on a number of classical approaches. This integrated presentation of theory, algorithms and examples will benefit those working in the areas of optimization, optimal design and evolutionary computing. Comprehensive coverage of this growing area of research. Carefully introduces each algorithm with examples and in-depth discussion. Includes many applications to real-world problems, including engineering design and scheduling. Accessible to those with limited knowledge of multi-objective optimization and evolutionary algorithms. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Add to basketTaschenbuch. Condition: Neu. Neuware - The Wiley Paperback Series makes valuable content more accessible to a new generation of statisticians, mathematicians and scientists.Evolutionary algorithms are very powerful techniques used to find solutions to real-world search and optimization problems. Many of these problems have multiple objectives, which leads to the need to obtain a set of optimal solutions, known as effective solutions. It has been found that using evolutionary algorithms is a highly effective way of finding multiple effective solutions in a single simulation run.\* Comrephensive coverage of this growing area of research.\* Carefully introduces each algorithm with examples and in-depth discussion.\* Includes many applications to real-world problems, including engineering design and scheduling.\* Includes discussion of advanced topics and future research.\* Accessible to those with limited knowledge of multi-objective optimization and evolutionary algorithmsProvides an extensive discussion on the principles of multi-objective optimization and on a number of classical approaches.This integrated presentation of theory, algorithms and examples will benefit those working in the areas of optimization, optimal design and evolutionary computing.
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Multi-objective Optimization Using Evolutionary Algorithms
Published by John Wiley & Sons Inc, 2008
ISBN 10: 0470743611 ISBN 13: 9780470743614
Language: English
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
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First Edition
US$ 138.23
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Add to basketCondition: New. Comprehensive coverage of this growing area of research. Carefully introduces each algorithm with examples and in-depth discussion. Includes many applications to real-world problems, including engineering design and scheduling. Accessible to those with limited knowledge of multi-objective optimization and evolutionary algorithms. Num Pages: 544 pages, black & white illustrations, black & white tables, maps, figures. BIC Classification: PBW. Category: (P) Professional & Vocational. Dimension: 242 x 170 x 29. Weight in Grams: 868. . 2009. 1st Edition. Paperback. . . . .
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Add to basketCondition: New. Multi-Objective Optimization using Evolutionary AlgorithmsKalyanmoy DebIndian Institute of Technology, Kanpur, IndiaThe Wiley Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal.
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Condition: 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.
