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Basic Concepts of Cellular Automata Read chapter Read first chapter

2012 | OriginalPaper | Chapter

Evolutionary Multiobjective Optimization

Author : Prof. Dr. Eckart Zitzler

Published in: Handbook of Natural Computing

Publisher: Springer Berlin Heidelberg

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Abstract

This chapter provides an overview of the branch of evolutionary computation that is dedicated to solving optimization problems with multiple objective functions. On the one hand, it sketches the foundations of multiobjective optimization and discusses general approaches to deal with multiple optimization criteria. On the other hand, it summarizes algorithmic concepts that are employed when designing corresponding search methods and briefly comments on the issue of performance assessment. This chapter concludes with a summary of the main application areas of evolutionary multiobjective optimization, namely, learning/decision making and multiobjectivization.

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Metadata
Title
Evolutionary Multiobjective Optimization
Author
Prof. Dr. Eckart Zitzler
Copyright Year
2012
Publisher
Springer Berlin Heidelberg
Book
Handbook of Natural Computing

Print ISBN: 978-3-540-92909-3

Electronic ISBN: 978-3-540-92910-9

Copyright Year: 2012

DOI
https://doi.org/10.1007/978-3-540-92910-9_28

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