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1. Memetic Differential Evolution Using Network Centrality Measures.

Author

Homolya, Viktor and Vinkó, Tamás

Subjects
*DIFFERENTIAL evolution, *MATHEMATICAL optimization, *MEMETICS, *GLOBAL optimization, *MATHEMATICAL analysis
Abstract

The concept of using network centrality measures in the selection process of memetic differential evolution algorithm is proposed. The usual aim for introducing changes in global optimization algorithms is to make it perform better. This short paper does not intend to provide enough experimental details to decide upon the performance of the new method, nevertheless, we definitely obtain interesting insights on how the discovery of local optima were done. [ABSTRACT FROM AUTHOR]

Published
2019
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