عنوان

Analog circuits and systems optimization based on evolutionary computation techniques /

(Number (ISBN

1280003561

(Number (ISBN

3642123457

(Number (ISBN

3642123465

(Number (ISBN

6613511838

(Number (ISBN

9781280003561

(Number (ISBN

9783642123450

(Number (ISBN

9783642123467

(Number (ISBN

9786613511836

Number

b714357

Title Proper

Analog circuits and systems optimization based on evolutionary computation techniques /

General Material Designation

[Book]

First Statement of Responsibility

Manuel F.M. Barros, Jorge M.C. Guilherme, Nuno C.G. Horta.

Place of Publication, Distribution, etc.

[Place of publication not identified] :

Name of Publisher, Distributor, etc.

Springer,

Date of Publication, Distribution, etc.

2010.

Specific Material Designation and Extent of Item

1 online resource

Series Title

Studies in computational intelligence,

Volume Designation

294

ISSN of Series

1860-949X ;

Text of Note

Includes bibliographical references and index.

Text of Note

Introduction -- State-of-the-Art on Analog Design Automation -- Evolutionary Analog IC Design Optimization -- Enhanced Techniques for Analog Circuits Design Using SVM Models -- Analog IC Design Environment Architecture -- Optimization of Analog Circuits and Systems Applications -- Conclusions -- Appendixes -- Index.

0

Text of Note

The microelectronics market trends present an ever-increasing level of complexity with special emphasis on the production of complex mixed-signal systems-on-chip. Strict economic and design pressures have driven the development of new methods to automate the analog design process. However, and despite some significant research efforts, the essential act of design at the transistor level is still performed by the trial and error interaction between the designer and the simulator. This book presents a new design automation methodology based on a modified genetic algorithm kernel, in order to improve efficiency on the analog IC design cycle. The proposed approach combines a robust optimization with corner analysis, machine learning techniques and distributed processing capability able to deal with multi-objective and constrained optimization problems. The resulting optimization tool and the improvement in design productivity is demonstrated for the design of CMOS operational amplifiers.

Source for Acquisition/Subscription Address

Springer

Stock Number

978-3-642-12345-0

Title

Analog circuits and systems optimization based on evolutionary computation techniques.

International Standard Book Number

9783642123450

Integrated circuits.

Mathematical optimization.

Circuits intégrés.

Optimisation mathématique.

Ingénierie.

Integrated circuits.

Integrated circuits.

Mathematical optimization.

Mathematical optimization.

TEC008000.

TEC008070.

TJF.

Number

Edition

Class number

Book number

Class number

Class number

System Code

System Code

Barros, Manuel F. M.

Guilherme, Jorge M. C.

Horta, Nuno C. G.

Date of Transaction

20201208043942.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y