IEEJ Transactions on Electronics, Information and Systems
Online ISSN : 1348-8155
Print ISSN : 0385-4221
ISSN-L : 0385-4221
<Information Processing, Software>
Differential Evolution Using Distance Dependent Survival Selection
Kiyoharu Tagawa
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2010 Volume 130 Issue 5 Pages 782-789

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Abstract
Survival selections are proposed for a new Differential Evolution (DE) based on the continuous generation model. Many of the conventional DEs have employed the discrete generation model. In the discrete generation model, two populations, namely, old one and new one, are used. Also, the members of the new population are generated from those of the old one. On the other hand, in the continuous generation model, only one population is used and a newborn individual is added to the population immediately. Besides better convergence, the new DE has some advantages. For instance, various survival selections can be easily introduced into the new DE. Therefore, three survival selections depending on the distance between individuals are proposed for the new DE. In order to evaluate the effectiveness of the proposed survival selections, not only the numerical experiment but also the statistical test is conducted on various benchmark problems.
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© 2010 by the Institute of Electrical Engineers of Japan
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