TY  - BOOK
AU  - Yoon,Min
AU  - Yun,Yeboon
AU  - Nakayama,Hirotaka
ED  - SpringerLink (Online service)
TI  - Sequential Approximate Multiobjective Optimization Using Computational Intelligence
T2  - Vector Optimization,
SN  - 9783540889106
AV  - TA342-343 
U1  - 003.3 23
PY  - 2009///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg
KW  - Mathematics
KW  - Operations research
KW  - Decision making
KW  - Computers
KW  - Computer science
KW  - Mathematical models
KW  - Mathematical optimization
KW  - Management science
KW  - Mathematical Modeling and Industrial Mathematics
KW  - Operations Research, Management Science
KW  - Theory of Computation
KW  - Operation Research/Decision Theory
KW  - Optimization
KW  - Discrete Mathematics in Computer Science
N1  - Basic Concepts of Multi-objective Optimization -- Interactive Programming Methods for Multi-objective Optimization -- Generation of Pareto Frontier by Genetic Algorithms -- Multi-objective Optimization and Computational Intelligence -- Sequential Approximate Optimization -- Combining Aspiration Level Approach and SAMO -- Engineering Applications
N2  - 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
UR  - http://dx.doi.org/10.1007/978-3-540-88910-6
ER  -