Many-Objective Optimization and Applications to Water Engineering: Theory and Practice - Couverture souple

Di Pierro, Francesco

Couverture souple

ISBN 10 : 3838303172 ISBN 13 : 9783838303178

Editeur : LAP Lambert Academic Publishing, 2009

Synopsis

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.

A propos du livre

À propos de l?auteur

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.

Détails de l'édition

• Éditeur: LAP Lambert Academic Publishing
• Date d'édition: 2009
• Langue: anglais
• ISBN 10: 3838303172
• ISBN 13: 9783838303178
• Reliure: Broché
• Nombre de pages: 188
• Coordonnées du fabricant: non disponible
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