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...
| Main Authors: | , , |
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| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2009.
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| Series: | Vector Optimization,
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| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- 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.
