Abstract
The paper deals with an application of the two types of hybrid artificial immune system (HAIS). First hybridization is based on hyper mutation gradient second is based on kriging method. The optimization of mathematical function and shape, topology and material properties of 3-D structures is presented. The identification of material parameters that were disrupted by a specific value of the noise is presented. Numerical examples demonstrate that the method based on the artificial immune system is a very effective technique for solving computer aided optimal design.
| Original language | English |
|---|---|
| Pages (from-to) | 216-225 |
| Number of pages | 10 |
| Journal | Journal of Computational Science |
| Volume | 23 |
| DOIs | |
| Publication status | Published - Nov 2017 |
Keywords
- Artificial immune system
- Hybridization
- Identification
- Mechanical systems
- Optimization
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science
- Modeling and Simulation
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