TY  - CHAP
U1  - Buchbeitrag
A1  - Steinbuch, Rolf
A1  - Kmitina, Iryna
A1  - Popova, Tatiana
A1  - Gekeler, Simon
A1  - Glück, Oskar
A1  - Srivastava, Ashish
ED  - Steinbuch, Rolf
T1  - Application of bionic optimization
T2  - Bionic optimization in structural design : stochastically based methods to improve the performance of parts and assemblies
N2  - To illustrate the power and the pitfalls of Bionic Optimization, we will show some examples spanning classes of applications and employing various strategies. These applications cover a broad range of engineering tasks. Nevertheless, there is no guarantee that our experiences and our examples will be sufficient to deal with all questions and issues in a comprehensive way. As general rule it might be stated, that for each class of problems, novices should begin with a learning phase. So, in this introductory phase, we use simple and quick examples, e.g., using small FE-models, linear load cases, short time intervals and simple material models. Here beginners within the Bionic Optimization community can learn which parameter combinations to use. In Sect. 3.​3 we discuss strategies for optimization study acceleration. Making use of these parameters as starting points is one way to set the specific ranges, e.g., number of parents and kids, crossing, mutation radii and, numbers of generations. On the other hand, these trial runs will doubtless indicate that Bionic Optimization needs large numbers of individual designs, and considerable time and computing power. We recommend investing enough time preparing each task in order to avoid the frustration should large jobs fail after long calculation times.
Y1  - 2016
SN  - 978-3-662-46596-7
SB  - 978-3-662-46596-7
U6  - https://doi.org/10.1007/978-3-662-46596-7_5
DO  - https://doi.org/10.1007/978-3-662-46596-7_5
SP  - 101
EP  - 123
S1  - 23
PB  - Springer
CY  - Berlin, Heidelberg
ER  -