DEMO: Differential Evolution for Multiobjective Optimization View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2005

AUTHORS

Tea Robič , Bogdan Filipič

ABSTRACT

Differential Evolution (DE) is a simple but powerful evolutionary optimization algorithm with many successful applications. In this paper we propose Differential Evolution for Multiobjective Optimization (DEMO) – a new approach to multiobjective optimization based on DE. DEMO combines the advantages of DE with the mechanisms of Pareto-based ranking and crowding distance sorting, used by state-of-the-art evolutionary algorithms for multiobjective optimization. DEMO is implemented in three variants that achieve competitive results on five ZDT test problems. More... »

PAGES

520-533

Book

TITLE

Evolutionary Multi-Criterion Optimization

ISBN

978-3-540-24983-2
978-3-540-31880-4

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-540-31880-4_36

DOI

http://dx.doi.org/10.1007/978-3-540-31880-4_36

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1022038375


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