A methodology for automated design and implementation of complex analog and digital CMOS integrated circuits applying a genetic algorithm and a CAD tool for multiobjective optimization.
Tesis (Doctorado en Ciencias Naturales para el Desarrollo) Instituto Tecnológico de Costa Rica, Escuela de Ingeniería Electrónica, 2014.
| Autor Principal: | Pereira-Arroyo, Roberto |
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| Formato: | Tesis |
| Idioma: | Español |
| Publicado: |
Instituto Tecnológico de Costa Rica
2016
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| Materias: | |
| Acceso en línea: |
https://hdl.handle.net/2238/6537 |
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RepoTEC6537 |
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dspace |
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RepoTEC65372022-04-09T03:05:46Z A methodology for automated design and implementation of complex analog and digital CMOS integrated circuits applying a genetic algorithm and a CAD tool for multiobjective optimization. Pereira-Arroyo, Roberto Algoritmos genéticos Circuitos integrados CMOS Tesis (Doctorado en Ciencias Naturales para el Desarrollo) Instituto Tecnológico de Costa Rica, Escuela de Ingeniería Electrónica, 2014. This dissertation proposes an automated methodology to design and optimize electronic integrated circuits, something that could be called simulation-driven optimization. The concept of Pareto optimality or the so called Pareto front is introduced as a useful analysis tool in order to explore the design space of such circuits. A genetic algorithm (GA) is employed to automatically detect this front in a process that efficiently finds optimal parameterizations and their corresponding values in an aggregate fitness space. Since the problem at hand is inherently a multi-objective optimization task, many different performance measures of the circuits must be able to be easily defined and computed as fitness functions. The methodology has been validated through measurements of several fabricated test cases, using MOSIS fabrication services for a standard 0.5m CMOS technology. Instituto Tecnológico de Costa Rica. Escuela de Ingeniería Electrónica. 2016-07-28T21:41:33Z 2016-07-28T21:41:33Z 2014 info:eu-repo/semantics/doctoralThesis https://hdl.handle.net/2238/6537 spa application/pdf Instituto Tecnológico de Costa Rica |
| institution |
Tecnológico de Costa Rica |
| collection |
Repositorio TEC |
| language |
Español |
| topic |
Algoritmos genéticos Circuitos integrados CMOS |
| spellingShingle |
Algoritmos genéticos Circuitos integrados CMOS Pereira-Arroyo, Roberto A methodology for automated design and implementation of complex analog and digital CMOS integrated circuits applying a genetic algorithm and a CAD tool for multiobjective optimization. |
| description |
Tesis (Doctorado en Ciencias Naturales para el Desarrollo) Instituto Tecnológico de Costa Rica, Escuela de Ingeniería Electrónica, 2014. |
| format |
Tesis |
| author |
Pereira-Arroyo, Roberto |
| author_sort |
Pereira-Arroyo, Roberto |
| title |
A methodology for automated design and implementation of complex analog and digital CMOS integrated circuits applying a genetic algorithm and a CAD tool for multiobjective optimization. |
| title_short |
A methodology for automated design and implementation of complex analog and digital CMOS integrated circuits applying a genetic algorithm and a CAD tool for multiobjective optimization. |
| title_full |
A methodology for automated design and implementation of complex analog and digital CMOS integrated circuits applying a genetic algorithm and a CAD tool for multiobjective optimization. |
| title_fullStr |
A methodology for automated design and implementation of complex analog and digital CMOS integrated circuits applying a genetic algorithm and a CAD tool for multiobjective optimization. |
| title_full_unstemmed |
A methodology for automated design and implementation of complex analog and digital CMOS integrated circuits applying a genetic algorithm and a CAD tool for multiobjective optimization. |
| title_sort |
methodology for automated design and implementation of complex analog and digital cmos integrated circuits applying a genetic algorithm and a cad tool for multiobjective optimization. |
| publisher |
Instituto Tecnológico de Costa Rica |
| publishDate |
2016 |
| url |
https://hdl.handle.net/2238/6537 |
| _version_ |
1796141683633553408 |
| score |
12.232914 |