Sequential Approximate Multiobjective Optimization Using Computational Intelligence

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 ef...

Full description

Bibliographic Details
Main Authors: Yoon, Min. (Author), Yun, Yeboon. (Author), Nakayama, Hirotaka. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
Series:Vector Optimization,
Subjects:
Online Access:https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-540-88910-6
LEADER 02570nam a22004455i 4500
001 6623
003 DE-He213
005 20130725192021.0
007 cr nn 008mamaa
008 100301s2009 gw | s |||| 0|eng d
020 # # |a 9783540889106  |9 978-3-540-88910-6 
024 7 # |a 10.1007/978-3-540-88910-6  |2 doi 
100 1 # |a Yoon, Min.  |e author. 
245 1 0 |a Sequential Approximate Multiobjective Optimization Using Computational Intelligence  |c by Min Yoon, Yeboon Yun, Hirotaka Nakayama.  |h [electronic resource] / 
264 # 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg,  |c 2009. 
300 # # |a XVI, 200 p. 111 illus.  |b online resource. 
336 # # |a text  |b txt  |2 rdacontent 
337 # # |a computer  |b c  |2 rdamedia 
338 # # |a online resource  |b cr  |2 rdacarrier 
347 # # |a text file  |b PDF  |2 rda 
490 1 # |a Vector Optimization,  |x 1867-8971 
505 0 # |a Basic Concepts of Multiobjective Optimization -- Interactive Programming Methods for Multiobjective Optimization -- Mulitobjective Optimization and Computational Intelligence -- Sequential Approximate Optimization (Meta-Modelling) Using Computational Intelligence -- Combining Aspiration Level Approach and Computational Intelligence for Sequential Approximate Multiobjective Optimization -- Engineering applications. 
520 # # |a 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. 
650 # 0 |a Economics. 
650 # 0 |a Computational complexity. 
650 # 0 |a Mathematical optimization. 
650 1 4 |a Economics/Management Science. 
650 2 4 |a Discrete Mathematics in Computer Science. 
650 2 4 |a Optimization. 
650 2 4 |a Operations Research/Decision Theory. 
700 1 # |a Yun, Yeboon.  |e author. 
700 1 # |a Nakayama, Hirotaka.  |e author. 
710 2 # |a SpringerLink (Online service) 
773 0 # |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783540889090 
830 # 0 |a Vector Optimization,  |x 1867-8971 
856 4 0 |u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-540-88910-6 
912 # # |a ZDB-2-SBE 
950 # # |a Business and Economics (Springer-11643)