|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA9910299722803321 |
|
|
Autore |
Liu Bo |
|
|
Titolo |
Automated Design of Analog and High-frequency Circuits : A Computational Intelligence Approach / / by Bo Liu, Georges Gielen, Francisco V. Fernández |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 |
|
|
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
|
|
Edizione |
[1st ed. 2014.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (XIII, 235 p. 99 illus.) |
|
|
|
|
|
|
Collana |
|
Studies in Computational Intelligence, , 1860-949X ; ; 501 |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Computational intelligence |
Artificial intelligence |
Computational Intelligence |
Artificial Intelligence |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
Bibliographic Level Mode of Issuance: Monograph |
|
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references. |
|
|
|
|
|
|
Nota di contenuto |
|
Basic Concepts and Background -- Fundamentals of Optimization Techniques in Analog IC Sizing -- High-Performance Analog IC Sizing: Advanced Constraint Handling and Search Methods -- Analog Circuit Sizing with Fuzzy Specifications: Addressing Soft Constraints -- Process Variation-aware Analog Circuit Sizing: Uncertain Optimization -- Ordinal Optimization-based Methods for Efficient Variation-aware Analog IC Sizing -- Electromagnetic Design Automation: Surrogate Model Assisted Evolutionary Algorithm -- Passive Components Synthesis at High Frequencies: Handling Prediction Uncertainty -- mm-Wave Linear Amplifier Design Automation: A First Step to Complex Problems -- mm-Wave Nonlinear IC and Complex Antenna Synthesis: Handling High Dimensionality. |
|
|
|
|
|
|
|
|
Sommario/riassunto |
|
Computational intelligence techniques are becoming more and more important for automated problem solving nowadays. Due to the growing complexity of industrial applications and the increasingly tight time-to-market requirements, the time available for thorough problem analysis and development of tailored solution methods is decreasing. |
|
|
|
|