Skip to main content
Conference ProceedingsOPEN ACCESS

Hierarchical approach to evolutionary multi-objective optimization

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2008) 5103 LNCS(PART 3) 740-749
DOI: 10.1007/978-3-540-69389-5_82
5Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

In this paper a new "hierarchical" evolutionary approach to solving multi-objective optimization problems is introduced. The results of experiments with standard multi-objective test problems, which were aimed at comparing "hierarchical" and "classical" versions of multi-objective evolutionary algorithms, show that the proposed approach is a very promising technique. © 2008 Springer-Verlag Berlin Heidelberg.

Cite

CITATION STYLE

APA

Ciepiela, E., Kocot, J., Siwik, L., & Drezewski, R. (2008). Hierarchical approach to evolutionary multi-objective optimization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5103 LNCS, pp. 740–749). https://doi.org/10.1007/978-3-540-69389-5_82

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free