.png){kind=icon}
返回
Evolutionary programming using mutations based on the Levy probability distribution
.png){kind=icon}
PRE
AI
DOI：10.1109/TEVC.2003.816583.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
\This paper studies evolutionary programming with mutations based on the Levy probability distribution. The Levy probability distribution has an infinite second moment and is, therefore, more likely to generate an offspring that is farther away from its parent than the commonly employed Gaussian mutation. Such likelihood depends on a parameter alpha in the Levy distribution. We propose an evolutionary,programming algorithm using adaptive as well as nonadaptive Levy mutations. The proposed algorithm was applied to multivariate functional optimization. Empirical evidence shows that, in the case of functions having many local optima, the performance of the proposed algorithm was better than that of classical evolutionary programming using Gaussian mutation.
Keyword:
evolutionary optimization
evolutionary programming
Levy mutation
Levy probability distribution
mean-square displacement
期刊
IF:
12
论文数:
1.8K
被引数:
2.4W
机构
暂无机构信息
引用论文
Post‐stroke depression and functional recovery in a population‐based stroke register. The Finnstroke study基于人群的卒中登记中的卒中后抑郁和功能恢复。Finnstroke研究
PREAI
分享收藏Acceleration of anterograde axonal transport in cat sciatic nerve by diisopropyl phosphorofluoridate
PREAI
分享收藏Post-collisional ultrapotassic volcanism in the Tangra Yumco-Xuruco graben, south Tibet: Constraints from geochemistry and Sr–Nd–Pb isotope.png)
Lithos
LithosIF0
PREAI
分享收藏
没有更多内容
没有更多内容