Many-Objective Optimization and Applications to Water Engineering

Francesco Di Pierro

ISBN 10: 3838303172 / ISBN 13: 9783838303178

Verlag: LAP LAMBERT Academic Publishing Nov 2009, 2009

Beschreibung

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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 188 pp. Englisch.

Bestandsnummer des Verkäufers 9783838303178

Bibliografische Details

• Titel: Many-Objective Optimization and Applications to Water Engineering
• Verlag: LAP LAMBERT Academic Publishing Nov 2009
• Erscheinungsjahr: 2009
• Sprache: Englisch
• ISBN-10: 3838303172
• ISBN-13: 9783838303178
• Einband: Taschenbuch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

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.

Über die Autorin bzw. den Autor

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.