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Condition: As New. Unread book in perfect condition.
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Multiobjective Optimization Methodology : A Jumping Gene Approach
Book 12 of 13: Industrial ElectronicsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Multiobjective Optimization Methodology : A Jumping Gene Approach
Book 12 of 13: Industrial ElectronicsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Multiobjective Optimization Methodology: A Jumping Gene Approach
Book 12 of 13: Industrial ElectronicsLanguage: English
Published by Taylor & Francis Ltd, 2018
ISBN 10: 1138072559 ISBN 13: 9781138072558
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 64.15
£ 16.43 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
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Multiobjective Optimization Based on Rough Set Theory: Methodology and Application
Language: English
Published by LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659846856 ISBN 13: 9783659846854
Paperback. Condition: Brand New. 128 pages. 8.66x5.91x0.29 inches. In Stock.
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paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Paperback. Condition: Brand New. reprint edition. 279 pages. 9.21x6.14x0.59 inches. In Stock.
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Condition: New. Kit Sang Tang received his BSc from the University of Hong Kong in 1988 and his MSc and PhD from City University of Hong Kong in 1992 and 1996, respectively. He is currently an associate professor in the Department of Electronic Engineer.
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Multiobjective Optimization Based on Rough Set Theory | Methodology and Application
Language: English
Published by LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659846856 ISBN 13: 9783659846854
Taschenbuch. Condition: Neu. Multiobjective Optimization Based on Rough Set Theory | Methodology and Application | Mohamed Abd Elsameea Hussein (u. a.) | Taschenbuch | 128 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659846854 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Study on multiobjective optimization using improved genetic Algorithm | Methodology and Application
Language: English
Published by LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3846548898 ISBN 13: 9783846548899
Taschenbuch. Condition: Neu. Study on multiobjective optimization using improved genetic Algorithm | Methodology and Application | Abd Allah A. Mousa | Taschenbuch | 144 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783846548899 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
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Study On Multiobjective Optimization Using Improved Genetic Algorithm: Methodology And Application
Language: English
Published by Lap Lambert Academic Publishing, 2011
ISBN 10: 3846548898 ISBN 13: 9783846548899
Paperback. Condition: Brand New. 144 pages. 8.66x5.91x0.33 inches. In Stock.
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Multiobjective Optimization Methodology : A Jumping Gene Approach
Book 12 of 13: Industrial ElectronicsLanguage: English
Published by Taylor & Francis Ltd Mär 2018, 2018
ISBN 10: 1138072559 ISBN 13: 9781138072558
Taschenbuch. Condition: Neu. Neuware.
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Multiobjective Optimization Methodology
Book 12 of 13: Industrial ElectronicsLanguage: English
Published by Taylor & Francis Group, 2012
ISBN 10: 1439899193 ISBN 13: 9781439899199
Condition: New. pp. 279.
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Multiobjective Optimization Based on Rough Set Theory: Methodology and Application
Language: English
Published by LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659846856 ISBN 13: 9783659846854
paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
-
Multiobjective Optimization Methodology : A Jumping Gene Approach
Book 12 of 13: Industrial ElectronicsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
-
paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
-
Condition: New. Kit Sang Tang received his BSc from the University of Hong Kong in 1988 and his MSc and PhD from City University of Hong Kong in 1992 and 1996, respectively. He is currently an associate professor in the Department of Electronic Engineer.
-
Multiobjective Optimization Methodology
Book 12 of 13: Industrial ElectronicsLanguage: English
Published by Taylor & Francis Group, 2012
ISBN 10: 1439899193 ISBN 13: 9781439899199
Condition: New. pp. 279.
-
Study on multiobjective optimization using improved genetic Algorithm: Methodology and Application
Language: English
Published by LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3846548898 ISBN 13: 9783846548899
paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
-
Multiobjective Optimization Methodology : A Jumping Gene Approach
Book 12 of 13: Industrial ElectronicsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
-
Hardcover. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Condition: As New. Unread book in perfect condition.
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Multiobjective Optimization Methodology : A Jumping Gene Approach
Book 12 of 13: Industrial ElectronicsLanguage: English
Published by Taylor & Francis Inc Mai 2012, 2012
ISBN 10: 1439899193 ISBN 13: 9781439899199
Buch. Condition: Neu. Neuware - The first book to focus on jumping genes outside bioscience and medicine, Multiobjective Optimization Methodology: A Jumping Gene Approach introduces jumping gene algorithms designed to supply adequate, viable solutions to multiobjective problems quickly and with low computational cost. Better Convergence and a Wider Spread of Nondominated Solutions The book begins with a thorough review of state-of-the-art multiobjective optimization techniques. For readers who may not be familiar with the bioscience behind the jumping gene, it then outlines the basic biological gene transposition process and explains the translation of the copy-and-paste and cut-and-paste operations into a computable language. To justify the scientific standing of the jumping genes algorithms, the book provides rigorous mathematical derivations of the jumping genes operations based on schema theory. It also discusses a number of convergence and diversity performance metrics for measuring the usefulness of the algorithms.Practical Applications of Jumping Gene Algorithms Three practical engineering applications showcase the effectiveness of the jumping gene algorithms in terms of the crucial trade-off between convergence and diversity. The examples deal with the placement of radio-to-fiber repeaters in wireless local-loop systems, the management of resources in WCDMA systems, and the placement of base stations in wireless local-area networks. Offering insight into multiobjective optimization, the authors show how jumping gene algorithms are a useful addition to existing evolutionary algorithms, particularly to obtain quick convergence solutions and solutions to outliers.
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Multiobjective Optimization Based on Rough Set Theory : Methodology and Application
Language: English
Published by LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659846856 ISBN 13: 9783659846854
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book we present a new optimization algorithm, the proposed algorithm operates in two phases: in the first one, multiobjective version of genetic algorithm is used as search engine in order to generate approximate true Pareto front. This algorithm based on concept of co-evolution and repair algorithm for handling nonlinear constraints. Also it maintains a finite-sized archive of non-dominated solutions which gets iteratively updated in the presence of new solutions based on the concept of -dominance. Then, in the second stage, rough set theory is adopted as local search engine in order to improve the spread of the solutions found so far. The results, provided by the proposed algorithm for benchmark problems, are promising when compared with exiting well-known algorithms. Also, our results suggest that our algorithm is better applicable for solving real-world application problems (Economic Environmental Dispatch of Power Systems).
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Study on multiobjective optimization using improved genetic Algorithm : Methodology and Application
Language: English
Published by LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3846548898 ISBN 13: 9783846548899
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Many real-world problems involve two types of problem difficulty: I) multiple, conflicting objectives and II) a highly complex search space. On the one hand, instead of a single optimal solution competing goals give rise to a set of compromise solutions, generally denoted as Pareto-optimal. In the absence of preference information, none of the corresponding trade-offs can be said to be better than the others. On the other hand, the search space can be too large and too complex to be solved by exact methods. Thus, efficient optimization strategies are required that are able to deal with both difficulties. Evolutionary algorithms possess several characteristics that are desirable for this kind of problem and make them preferable to classical optimization methods. In fact, various evolutionary approaches to multiobjective optimization have been proposed since 1985, capable of searching for multiple Pareto optimal solutions concurrently in a single simulation run. The subject of this work is the improvement of multiobjective evolutionary algorithms and their application to engineering problems.
