Sequential Approximate Multiobjective Optimization Using Computational Intelligence

• Κύριοι συγγραφείς: Yoon, Min (Συγγραφέας), Yun, Yeboon (Συγγραφέας), Nakayama, Hirotaka (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
• Σειρά: Vector Optimization,
• Θέματα: Mathematics.; Operations research.; Decision making.; Computers.; Computer science > Mathematics.; Mathematical models.; Mathematical optimization.; Management science.; Mathematical Modeling and Industrial Mathematics.; Operations Research, Management Science.; Theory of Computation.; Operation Research/Decision Theory.; Optimization.; Discrete Mathematics in Computer Science.
• Φυσική περιγραφή: XVI, 200 p. 111 illus. online resource.
• ISBN: 9783540889106
• ISSN: 1867-8971

This book highlights a new direction of multiobjective optimzation, which has never been treated in previous publications. When the function form of objective functions is not known explicitly as encountered in many practical problems, sequential approximate optimization based on metamodels is an effective tool from a practical viewpoint. Several sophisticated methods for sequential approximate multiobjective optimization using computational intelligence are introduced along with real applications, mainly engineering problems, in this book.