VDI 6224 Blatt 1-2012 发布历史

Bionic methods for optimization have already often been used successfully in industrial sectors, but they still have a great potential for further application. Evolutionary strategies are robust algorithms for optimization. Designed after the the biological evolution they are suitable for the optimization of various processes and products, and can be used successfully in almost every company. Evolutionary algorithms use the principles of variation (mutation and recombination) and selection, executed iteratively in an evolutionary loop, to evolve new solutions with the objective of improving and optimizing the system. In this process, variation supplies the genetic material (diversity) and selection pushes evolution in the (desired) direction. The Darwinian evolution paradigm can be implemented algorithmically in various ways. These implementations differ in the degree to which they model the biological machinery, among other differences. Using this guideline optimization problems can be solved for which there is no known standard solutions or algorithms, for which the standard solutions or algorithms do not yield the desired success or whose solution using conventional methods appears to be too expensive.

VDI 6224 Blatt 1-2012由德国机械工程师协会 DE-VDI 发布于 2012-06。

VDI 6224 Blatt 1-2012在国际标准分类中归属于: 07.080 生物学、植物学、动物学。

VDI 6224 Blatt 1-2012 发布之时，引用了标准

VDI 1000-2010
VDI/VDE 3550 Blatt 3-2003
VDI 6220-2011 Biomimetics - Conception and strategy - Differences between bionic and conventional methods/products
VDI 6224 Blatt 2-2010 Bionische Optimierung - Anwendung biologischer Wachstumsgesetze zur strukturmechanischen Optimierung technischer Bauteile

VDI 6224 Blatt 1-2012的历代版本如下：

2011年06月01日 VDI 6224 Blatt 1-2011 Bionische Optimierung - Evolutionaere Algorithmen in der Anwendung
2012年06月 VDI 6224 Blatt 1-2012

非常抱歉，我们暂时无法提供预览，您可以试试：免费下载 VDI 6224 Blatt 1-2012 前三页，或者稍后再访问。

注意：点击下载后，生成下载文件时间比较长，请耐心等待......

标准号: VDI 6224 Blatt 1-2012
发布日期: 2012年06月
实施日期
废止日期: 无
国际标准分类号: 07.080
发布单位: DE-VDI

适用范围: Bionic methods for optimization have already often been used successfully in industrial sectors, but they still have a great potential for further application. Evolutionary strategies are robust algorithms for optimization. Designed after the the biological evolution they are suitable for the optimization of various processes and products, and can be used successfully in almost every company. Evolutionary algorithms use the principles of variation (mutation and recombination) and selection, executed iteratively in an evolutionary loop, to evolve new solutions with the objective of improving and optimizing the system. In this process, variation supplies the genetic material (diversity) and selection pushes evolution in the (desired) direction. The Darwinian evolution paradigm can be implemented algorithmically in various ways. These implementations differ in the degree to which they model the biological machinery, among other differences. Using this guideline optimization problems can be solved for which there is no known standard solutions or algorithms, for which the standard solutions or algorithms do not yield the desired success or whose solution using conventional methods appears to be too expensive.

VDI 6224 Blatt 1-2012

Biomimetic optimization - Application of evolutionary algorithms