adaptation of an evolutionary algorithm in modeling electric circuits
Clicks: 111
ID: 196907
2010
Article Quality & Performance Metrics
Overall Quality
Improving Quality
0.0
/100
Combines engagement data with AI-assessed academic quality
Reader Engagement
Steady Performance
30.0
/100
110 views
7 readers
Trending
AI Quality Assessment
Not analyzed
Abstract
This paper describes the influence of setting control parameters of a differential evolutionary algorithm (DE) and the influence of adapting these parameters on the simulation of electric circuits and their components. Various DE algorithm strategies are investigated, and also the influence of adapting the controlling parameters (Cr, F) during simulation and the effect of sample size. Optimizing an equivalent circuit diagram is chosen as a test task. Several strategies and settings of a DE algorithm are evaluated according to their convergence to the right solution.
| Reference Key |
hjek2010actaadaptation
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;J. Hájek |
| Journal | the journal of nutrition |
| Year | 2010 |
| DOI |
DOI not found
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.