Sequential Approximate Multiobjective Optimization Using Computational Intelligence Sequential Approximate Multiobjective Optimization Using Computational Intelligence
Vector Optimization

Sequential Approximate Multiobjective Optimization Using Computational Intelligence

Hirotaka Nakayama and Others
    • 119,99 €
    • 119,99 €

Publisher Description

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.

GENRE
Science & Nature
RELEASED
2009
12 June
LANGUAGE
EN
English
LENGTH
216
Pages
PUBLISHER
Springer Berlin Heidelberg
PROVIDER INFO
Springer Science & Business Media LLC
SIZE
4.9
MB
Order Analysis, Deep Learning, and Connections to Optimization Order Analysis, Deep Learning, and Connections to Optimization
2024
Multi-Criteria and Multi-Dimensional Analysis in Decisions Multi-Criteria and Multi-Dimensional Analysis in Decisions
2023
Vector Variational Inequalities and Vector Optimization Vector Variational Inequalities and Vector Optimization
2017
Set-Valued Optimization Set-Valued Optimization
2014
Vector Optimization and Monotone Operators via Convex Duality Vector Optimization and Monotone Operators via Convex Duality
2014
Variable Ordering Structures in Vector Optimization Variable Ordering Structures in Vector Optimization
2014