Published 2010
by Springer-Verlag Berlin Heidelberg in Berlin, Heidelberg .
Written in English
Edition Notes
| Statement | by Manuel F. M. Barros, Jorge M. C. Guilherme, Nuno C. G. Horta |
| Series | Studies in Computational Intelligence -- 294 |
| Contributions | Guilherme, Jorge M. C., Horta, Nuno C. G., SpringerLink (Online service) |
| The Physical Object | |
|---|---|
| Format | [electronic resource] / |
| ID Numbers | |
| Open Library | OL27016495M |
| ISBN 10 | 9783642123450, 9783642123467 |
Analog Circuits and Systems Optimization based on Evolutionary Computation Techniques (Studies in Computational Intelligence) [Barros, Manuel, Guilherme, Jorge, Horta, Nuno] on *FREE* shipping on qualifying offers. Analog Circuits and Systems Optimization based on Evolutionary Computation Techniques (Studies in Computational Intelligence)Format: Hardcover. CONCLUSIONS The presented design automation work, GENOM, uses one of the most promising optimization techniques, evolutionary computation techniques, to face (handle) the challenges of the analog design industry. His research interests are in analog IC design automation and emerging evolutionary computation techniques including multi-objective optimization algorithms and learning strategies. Jorge Guilherme received the and Ph.D. degrees from Instituto Superior Tecnico, Lisbon in and , in the area of microelectronics. Request PDF | Analog Circuits and Systems Optimization based on Evolutionary Computation Techniques | The microelectronics market trends present an .
Analog Circuits and Systems Optimization based on Evolutionary Computation Techniques | SpringerLink. مدارهای آنالوگ و بهینهسازی سیستمها براساس محاسبات محاسبات تکاملی | springerlink. ترجمه شده با. In the previous chapters there was a description of the optimization methodology and the supporting tool that simplifies the design tasks of analog integrated circuits. The developed design optimization tool, GENOM, based on evolutionary computation techniques and incorporating heuristic knowledge on the automatic control mechanism was combined Cited by: 3. Analog Circuits and Systems Optimization based on Evolutionary Computation Techniques. This chapter also introduces a new optimization kernel based on genetic algorithms applied to analog circuit optimization. It includes a detailed description of the coding schemes, the fitness function, the genetic operators and other design strategy. Analog Circuits and Systems Optimization based on Evolutionary Computation Techniques, Proc International Workshop on Symbolic and Numerical Methods, Modeling and Applications to Circuit Design - SM2ACD, Erfurt, Germany, Vol., pp. -, October, Digital Object Identifier: Download Full text PDF ( KBs).
Get this from a library! Analog Circuits and Systems Optimization based on Evolutionary Computation Techniques. [Manuel F M Barros; Jorge M C Guilherme; Nuno C G Horta]. Download File PDF Analog Circuits And Systems Optimization Based On Evolutionary Computation Techniques Optimization of Analog Circuits and Systems - Applications The microelectronics market, with special emphasis to the production of complex mixed-signal systems-on-chip (SoC), is driven by three main dynamics, time-- market, productivity and. Analog integrated circuits use (1) as a constrained optimization problem and can be solved by evolutionary algorithms. The selection depends on the conditions of the problem and the application. Our circuits follow the same equation for optimization. Then, they are optimized by evolutionary algorithms. Optimization of Analog Circuits by Applying Evolutionary Algorithms by Ivick Guerra G omez´ A Dissertation Submitted to the Program in Electronics Science, Electronics Science Department in partial fulllment of the requirements for the degree of PH.D. IN ELECTRONICS SCIENCE at the National Institute for Astrophysics, Optics and Electronics.
