Novelty Search for the Synthesis of Current Followers

Authors

  • Enrique Naredo Centro de Investigación en Geografía y Geomática Ing. Jorge L. Tamayo A.C. (Centro GEO), Aguascalientes,
  • Miguel Aurelio Duarte Villaseñor Instituto Tecnológico de Tijuana, Departamento de Ingeniería Eléctrica y Electrónica, Tijuana, BC
  • Manuel de Jesús García Ortega Instituto Tecnológico de Tijuana, Departamento de Ingeniería Eléctrica y Electrónica, Tijuana, Baja California
  • Carlos E. Vázquez López Instituto Tecnológico de Tijuana, Departamento de Ingeniería Eléctrica y Electrónica, Tijuana, Baja California
  • Leonardo Trujillo Instituto Tecnológico de Tijuana, Departamento de Ingeniería Eléctrica y Electrónica, Tijuana, Baja California
  • Oscar S. Siordia Centro de Investigación en Geografía y Geomática Ing. Jorge L. Tamayo A.C. (Centro GEO), Laboratorio Nacional de GeoInteligencia Aguascalientes

DOI:

https://doi.org/10.13053/cys-20-4-2502

Keywords:

Evolutionary electronics, circuit synthesis, current follower, novelty search.

Abstract

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.

Author Biographies

Enrique Naredo, Centro de Investigación en Geografía y Geomática Ing. Jorge L. Tamayo A.C. (Centro GEO), Aguascalientes,

Received a degree in Electromechanic Engineering (1986) from the Instituto Tecnológico de Acapulco. He received a Masters in Computer Science (2011) and a doctorate in Engineering Sciences from the Instituto Tecnológico de Tijuana, México, and currently working as researcher at Laboratorio Nacional de Geointeligencia (GeoINT), Centro de Investigación en Geografía y Geomática  Ing. Jorge L. Tamayo A.C. (CentroGeo), Aguascalientes, México.

Miguel Aurelio Duarte Villaseñor, Instituto Tecnológico de Tijuana, Departamento de Ingeniería Eléctrica y Electrónica, Tijuana, BC

Received the Bachelor degree in Electronics from the Benemérita Universidad Autónoma de Puebla (BUAP), in 2005; and the Master Sciences and PhD  degree in Electronics from the Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE), México, in 2007 and 2010. He is currently professor (catedrático CONACYT) at the Instituto Tecnológico de Tijuana (ITT) since 2014. His research interests include automation electronic design, evolutionary electronics, as well as modelling, simulation, and synthesis of electronic circuits.

Manuel de Jesús García Ortega, Instituto Tecnológico de Tijuana, Departamento de Ingeniería Eléctrica y Electrónica, Tijuana, Baja California

Is head of the Division of Graduate Studies and Research (DEPI) at the Instituto Tecnológico de Tijuana (ITT), president of the Academy of Electronic Engineering, and professor in the Electric and Electronic Engineering Department at ITT. He obtained an engineering degree in Communications and Electronics from ESIME-IPN, México in 1990 and a Masters of Science in Digital Systems from CITEDI-IPN, México in 2003.

Carlos E. Vázquez López, Instituto Tecnológico de Tijuana, Departamento de Ingeniería Eléctrica y Electrónica, Tijuana, Baja California

Is a Communications and Electronics Engineer of ESIME-IPN, México. He obtained the degree of Master of Science in Digital Systems CITEDI-IPN, México, in 1997. He has been working for 23 years as teacher  and has held various management positions in Instituto Tecnológico de Tijuana (ITT). He is currently teaching the subjects of Digital Systems, Optoelectronics and Semiconductors, and is the current head of the Electric and Electronic Engineering Department at ITT.

Leonardo Trujillo, Instituto Tecnológico de Tijuana, Departamento de Ingeniería Eléctrica y Electrónica, Tijuana, Baja California

Received a degree in Electronic Engineering (2002) and a Masters in Computer Science (2004) from the Instituto Tecnológico de Tijuana, México. He also received a doctorate in Computer Science from the CICESE research center, in Ensenada México (2008), developing Genetic Programming (GP) applications for Computer Vision problems, focusing on feature extraction and image description. He is currently professor at Instituto Tecnológico de Tijuana, México (ITT), where he is currently President of the Master Program, head of the Cybernetics research group and is the head researcher of the TREE-LAB research group.

Oscar S. Siordia, Centro de Investigación en Geografía y Geomática Ing. Jorge L. Tamayo A.C. (Centro GEO), Laboratorio Nacional de GeoInteligencia Aguascalientes

Received a degree in Electronic Engineering with specialty in Telecomunications (2007) from Instituto Tecnológico de Mérida (ITM), Yucatán, México. He received a Masters in Computer Science (2009) from Centro Nacional de Investigación y Desarrollo Tecnológico (CENIDET), Cuernavaca, Morelos, México. He also received a Master (2009) and a doctorate (2013) degree in Information Technology and Information Systems from Universidad Rey Juan Carlos (URJC), Spain. Currently is working as head researcher at Laboratorio Nacional de Geointeligencia (GeoINT), Centro de Investigación en Geografía y Geomática (CentroGeo), Aguascalientes, México. Num. de CVU: 226261/ Expediente SNI: 65218 (Candidato).

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Published

2016-12-18