VDI 6224 Blatt 1-2012 PDF

Scope: 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 Referenced Document

VDI 1000-2010 VDI Guideline Work - Principles and procedures
VDI 6220-2011 Bionik - Konzeption und Strategie - Abgrenzung zwischen bionischen und konventionellen Verfahren/Produkten
VDI 6224 Blatt 2-2010 Bionic optimization - Application of biological growth laws for the structure-mechanical optimization of technical components
VDI/VDE 3550 Blatt 3-2003 Computational intelligence - Evolutionary algorithms - Terms and definitions

2012 VDI 6224 Blatt 1-2012 Biomimetic optimization - Application of evolutionary algorithms
2011 VDI 6224 Blatt 1-2011 Bionic optimization - Application of evolutionary algorithms