Incorporating directional information within a differential evolution algorithm for miltiobjective optimization

Iorio, A and Li, X 2006, 'Incorporating directional information within a differential evolution algorithm for miltiobjective optimization', in M. Keijzer et al. (ed.) Proceeding of Genetic and Evolutionary Computation Conference 2006 (GECCO 2006), Seattle, USA, 2006, pp. 691-698.


Document type: Conference Paper
Collection: Conference Papers

Title Incorporating directional information within a differential evolution algorithm for miltiobjective optimization
Author(s) Iorio, A
Li, X
Year 2006
Conference name Genetic and Evolutionary Computation Conference
Conference location Seattle, USA
Conference dates 2006
Proceedings title Proceeding of Genetic and Evolutionary Computation Conference 2006 (GECCO 2006)
Editor(s) M. Keijzer et al.
Publisher ACM Press
Place of publication New York, USA
Start page 691
End page 698
Total pages 8
Abstract The field of Differential Evolution (DE) has demonstrated important advantages in single objective optimization. To date, no previous research has explored how the unique characteristics of DE can be applied to multi-objective optimization. This paper explains and demonstrates how DE can provide advantages in multi-objective optimization using directional information. We present three novel DE variants for multi-objective optimization, and a report of their performance on four multi-objective problems with different characteristics. The DE variants are compared with the NSGA-II (Nondominated Sorting Genetic Algorithm). The results suggest that directional information yields improvements in convergence speed and spread of solutions.
Subjects Analysis of Algorithms and Complexity
Keyword(s) evolutionary computing
Copyright notice © 2006 ACM
ISBN 1-59593-186-4
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