Buch, Englisch, Band 10, 177 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 1050 g
Buch, Englisch, Band 10, 177 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 1050 g
Reihe: Genetic Algorithms and Evolutionary Computation
ISBN: 978-1-4020-7276-5
Verlag: Springer US
Evolutionary Algorithms for Embedded System Design describes how Evolutionary Algorithm (EA) concepts can be applied to circuit and system design - an area where time-to-market demands are critical. EAs create an interesting alternative to other approaches since they can be scaled with the problem size and can be easily run on parallel computer systems. This book presents several successful EA techniques and shows how they can be applied at different levels of the design process. Starting on a high-level abstraction, where software components are dominant, several optimization steps are demonstrated, including DSP code optimization and test generation. Throughout the book, EAs are tested on real-world applications and on large problem instances. For each application the main criteria for the successful application in the corresponding domain are discussed. In addition, contributions from leading international researchers provide the reader with a variety of perspectives, including a special focus on the combination of EAs with problem specific heuristics.
Evolutionary Algorithms for Embedded System Design is an excellent reference for both practitioners working in the area of circuit and system design and for researchers in the field of evolutionary concepts.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
- Geisteswissenschaften Design Produktdesign, Industriedesign
- Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computer-Aided Design (CAD)
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
- Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Bauelemente, Schaltkreise
- Mathematik | Informatik Mathematik Operations Research Spieltheorie
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
- Technische Wissenschaften Technik Allgemein Konstruktionslehre und -technik
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Kybernetik, Systemtheorie, Komplexe Systeme
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Mikroprozessoren
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
- Mathematik | Informatik Mathematik Mathematik Interdisziplinär Systemtheorie
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
Weitere Infos & Material
1 Evolutionary Testing of Embedded Systems.- 1. Introduction.- 2. Test Methods.- 3. Evolutionary Testing.- 4. Evolutionary Testing of Non-Functional Properties.- 5. Evolutionary Testing of Functional Behavior.- 6. Conclusion, Future Work.- 2 Genetic Algorithm Based DSP Code Optimization.- 1. Compilers for Digital Signal Processors.- 2. Address Generation in DSPs.- 3. Offset Assignment Problem.- 4. Genetic Algorithm Formulation.- 5. Experimental Results.- 6. Conclusions.- 3 Hierarchical Synthesis of Embedded Systems.- 1. Introduction.- 2. A Model for Embedded System Synthesis.- 3. System Synthesis.- 4. System Synthesis Using Evolutionary Algorithms.- 5. Hierarchical Design Space Exploration.- 6. Case Study.- 7. Conclusions.- 4 Functional Test Generation.- 1. Introduction.- 2. Functional Test Generation Algorithms.- 3. Proposed Hybrid Approach.- 4. Experimental Results.- 5. Concluding Remarks.- 5 Built-In Self Test of Sequential Circuits.- 1. Introduction.- 2. Cellular Automata.- 3. Test Architecture.- 4. The Selfish Gene Algorithm.- 5. Selfish Gene for CA-CSTP.- 6. Experimental Results.- 7. Conclusions.
