Sinossi
Over the last ten years, Multi-Objective Evolutionary Algorithms (MOEAs) have undergone tremendous development and have been successfully applied in various fields. However, an increasingly expanding basis of our knowledge of natural processes and engineering requirements, and social awareness have led to the formulation of problems requiring a large number of criteria. This has posed a serious challenge for traditional MOEAs, and has led researchers to begin investigating the issues related to the optimization of problems with more than three objectives, usually referred to as Many-Objective Problems. Motivated by the need to provide researchers and practitioners interested in water resources engineering with an optimization method to effectively solve problems formulated with many objectives, this thesis is an effort to advance in the field of Evolutionary Many-objective Optimisation. In order to meet this goal, this book provides a review and analysis of the issues arising in this setting, describes a new methodology, demonstrates its effectiveness through extensive experiments and shows the relevance to the water resources engineering field through a case study.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sull?autore
Francesco was born in Milan, Italy in 1974. Francesco is interested in algorithmic design for optimization. Francesco has held several research positions, in the UK, Italy and Australia, and he founded an optimization consultancy company. Since 2006, Francesco advises a Venture Capital fund on high-tech investments in the ICT sector.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Many-Objective Optimization and Applications to Water Engineering
Editore:
LAP LAMBERT Academic Publishing Nov 2009, 2009
ISBN 10: 3838303172
ISBN 13: 9783838303178
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Over the last ten years, Multi-Objective Evolutionary Algorithms (MOEAs) have undergone tremendous development and have been successfully applied in various fields. However, an increasingly expanding basis of our knowledge of natural processes and engineering requirements, and social awareness have led to the formulation of problems requiring a large number of criteria. This has posed a serious challenge for traditional MOEAs, and has led researchers to begin investigating the issues related to the optimization of problems with more than three objectives, usually referred to as Many-Objective Problems. Motivated by the need to provide researchers and practitioners interested in water resources engineering with an optimization method to effectively solve problems formulated with many objectives, this thesis is an effort to advance in the field of Evolutionary Many-objective Optimisation. In order to meet this goal, this book provides a review and analysis of the issues arising in this setting, describes a new methodology, demonstrates its effectiveness through extensive experiments and shows the relevance to the water resources engineering field through a case study. 188 pp. Englisch. Codice articolo 9783838303178
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Many-Objective Optimization and Applications to Water Engineering
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Over the last ten years, Multi-Objective Evolutionary Algorithms (MOEAs) have undergone tremendous development and have been successfully applied in various fields. However, an increasingly expanding basis of our knowledge of natural processes and engineeri. Codice articolo 5411054
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Many-Objective Optimization and Applications to Water Engineering | Theory and Practice
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LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3838303172
ISBN 13: 9783838303178
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Taschenbuch. Condizione: Neu. Many-Objective Optimization and Applications to Water Engineering | Theory and Practice | Francesco Di Pierro | Taschenbuch | 188 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783838303178 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 101222001
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Many-Objective Optimization and Applications to Water Engineering
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LAP LAMBERT Academic Publishing Nov 2009, 2009
ISBN 10: 3838303172
ISBN 13: 9783838303178
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Over the last ten years, Multi-Objective Evolutionary Algorithms (MOEAs) have undergone tremendous development and have been successfully applied in various fields. However, an increasingly expanding basis of our knowledge of natural processes and engineering requirements, and social awareness have led to the formulation of problems requiring a large number of criteria. This has posed a serious challenge for traditional MOEAs, and has led researchers to begin investigating the issues related to the optimization of problems with more than three objectives, usually referred to as Many-Objective Problems. Motivated by the need to provide researchers and practitioners interested in water resources engineering with an optimization method to effectively solve problems formulated with many objectives, this thesis is an effort to advance in the field of Evolutionary Many-objective Optimisation. In order to meet this goal, this book provides a review and analysis of the issues arising in this setting, describes a new methodology, demonstrates its effectiveness through extensive experiments and shows the relevance to the water resources engineering field through a case study.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 188 pp. Englisch. Codice articolo 9783838303178
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Many-Objective Optimization and Applications to Water Engineering : Theory and Practice
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LAP LAMBERT Academic Publishing, 2009
ISBN 10: 3838303172
ISBN 13: 9783838303178
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Over the last ten years, Multi-Objective Evolutionary Algorithms (MOEAs) have undergone tremendous development and have been successfully applied in various fields. However, an increasingly expanding basis of our knowledge of natural processes and engineering requirements, and social awareness have led to the formulation of problems requiring a large number of criteria. This has posed a serious challenge for traditional MOEAs, and has led researchers to begin investigating the issues related to the optimization of problems with more than three objectives, usually referred to as Many-Objective Problems. Motivated by the need to provide researchers and practitioners interested in water resources engineering with an optimization method to effectively solve problems formulated with many objectives, this thesis is an effort to advance in the field of Evolutionary Many-objective Optimisation. In order to meet this goal, this book provides a review and analysis of the issues arising in this setting, describes a new methodology, demonstrates its effectiveness through extensive experiments and shows the relevance to the water resources engineering field through a case study. Codice articolo 9783838303178
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Many-Objective Optimization and Applications to Water Engineering: Theory and Practice
Editore:
LAP LAMBERT Academic Publishing, 2009
ISBN 10: 3838303172
ISBN 13: 9783838303178
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