Differential evolution using distance dependent survival selection

被引：0

作者：

Tagawa K. ^{[1
]}

机构：

[1] School of Science and Engineering, Kinki University, Higashi-Osaka City, 577-8502, 3-4-1, Kowakae

来源：

IEEJ Transactions on Electronics, Information and Systems | 2010年 / 130卷 / 05期

关键词：

Differential evolution; Evolutionary computation; Hypothesis testing; Survival selection;

D O I：

10.1541/ieejeiss.130.782

中图分类号：

学科分类号：

摘要：

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. © 2010 The Institute of Electrical Engineers of Japan.

引用

页码：782 / 789+7

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