Atomized Feature in Cloud Based Evolutionary Algorithm

LIU Yu; LI De-yi; ZHANG Guang-wei; CHEN Gui-sheng

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Atomized Feature in Cloud Based Evolutionary Algorithm

更新时间：2025-07-16

- Atomized Feature in Cloud Based Evolutionary Algorithm
- Acta Electronica Sinica Vol. 37, Issue 8, Pages: 1651-1658(2009)
- 作者机构：
  
  1. 北京航空航天大学软件开发环境国家重点实验室,北京,100083
  2. 中国电子工程系统研究所,北京,100840
  3. 北京航空航天大学软件开发环境国家重点实验室北京,100083
  4. 中国电子工程系统研究所北京,100840
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP18
- Published：2009
- 稿件说明：
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LIU Yu, LI De-yi, ZHANG Guang-wei, et al. Atomized Feature in Cloud Based Evolutionary Algorithm[J]. Acta Electronica Sinica, 2009, 37(8): 1651-1658.
DOI：

LIU Yu, LI De-yi, ZHANG Guang-wei, et al. Atomized Feature in Cloud Based Evolutionary Algorithm[J]. Acta Electronica Sinica, 2009, 37(8): 1651-1658. DOI：

摘要

云模型在超熵变大时

体现出雾化特性

云滴离散程度变大但靠近概念核心的云滴不失数量优势.雾化特性有利于表示进化算法中的遗传与变异

在云进化算法(CBEA)中

基于超熵变化的控制进化策略能够合理的调整选择压力

从而决定进化方向.实验表明

算法在寻求函数最优解问题上表现出良好的效率和精度.

Abstract

The drops of the cloud spread around while the hyper entropy (He) is increasing.But many drops still stand in the central area of the cloud.Atomized feature of the cloud model can be used to adjust the strategies of the evolution.In cloud based evolutionary algorithm

changing He to affect the selection pressure and lead to different evolution result.By the experiments of nine typical test functions’ optimization

the precision

stability and convergence rate of the algorithm are well proved.

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