A synthetic biology approach for the design of genetic algorithms with bacterial agents-Reference-Cited by-同舟云学术

A synthetic biology approach for the design of genetic algorithms with bacterial agents

Published:2021-01-28 Issue:3 Volume:36 Page:275-292
ISSN:1744-5760
Container-title:International Journal of Parallel, Emergent and Distributed Systems
language:en
Short-container-title:International Journal of Parallel, Emergent and Distributed Systems

Author:

Gargantilla Becerra A.¹,Gutiérrez M.²,Lahoz-Beltra R.³

Affiliation:

1. Department of Systems Biology, Centro Nacional de Biotecnología (CSIC) Madrid, Spain

2. Escuela de Informática y Telecomunicaciones, Universidad Diego Portales, Santiago, Chile

3. Faculty of Biological Sciences, Department of Biodiversity, Ecology and Evolution (Biomathematics), Complutense University of Madrid Madrid, Spain

Publisher

Informa UK Limited

Subject

Computer Networks and Communications,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/17445760.2021.1879072

Reference37 articles.

1. Harvey I. The microbial genetic algorithm,” in 10th European Conference, ECAL 2009, Advances in Artificial Life. Darwin Meets von Neumann, Lecture Notes in Computer Science, Part II. LNCS 5778, Berlin. Springer Verlag, G. Kampis, I. Karsai, and E. Szathmáry, Eds., Budapest, Hungary, 2011, pp. 126–133.

2. A New Evolutionary Algorithm Based on Bacterial Evolution and Its Application for Scheduling A Flexible Manufacturing System

3. An AM Radio Receiver Designed With a Genetic Algorithm Based on a Bacterial Conjugation Genetic Operator

4. A high performance genetic algorithm using bacterial conjugation operator (HPGA)

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