Novelty Search for the Synthesis of Current Followers
| Autor: | Oscar S. Siordia, Manuel de Jesús García Ortega, Enrique Naredo, Miguel Aurelio Duarte Villaseñor, Leonardo Trujillo, Carlos E. Vázquez López |
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| Rok vydání: | 2016 |
| Předmět: |
General Computer Science
Computer science Spice Novelty 0102 computer and information sciences 02 engineering and technology Integrated circuit Current source Network topology Topology 01 natural sciences law.invention CMOS 010201 computation theory & mathematics law 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing MATLAB computer Simulation Electronic circuit computer.programming_language |
| Zdroj: | Computación y Sistemas. 20 |
| ISSN: | 2007-9737 1405-5546 |
| DOI: | 10.13053/cys-20-4-2502 |
| Popis: | A topology synthesis method is introduced using genetic algorithms (GA) based on novelty search (NS). NS is an emerging meta-heuristic, that guides the search based on the novelty of each solution instead of the objective function. The synthesized topologies are current follower (CF) circuits; these topologies are new and designed using integrated circuit CMOS technology of 0.35m. Topologies are coded using a chromosome divided into four genes: small signal gene (SS), MOSFET synthesis gene (SMos), polarization gene (Bias) and current source synthesis gene (CM). The proposed synthesis method is coded in MatLab and uses SPICE to evaluate the CFs fitness. The GA based on NS (GA-NS) is compared with a standard objective-based GA, showing unique search dynamics and improved performance. Experimental results show twelve CFs synthesized by the GA-NS algorithm, and their main attributes are summarized and discussed. This work is the first to show that NS can be used asa promising alternative in the field of automatic circuit synthesis. |
| Databáze: | OpenAIRE |
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