A synthetic biology approach for the design of genetic algorithms with bacterial agents. Issue 3 (4th May 2021)

• Record Type: Journal Article
• Authors: Gargantilla Becerra, A.; Gutiérrez, M.; Lahoz-Beltra, R.
• Is Part Of: International journal of parallel, emergent and distributed systems. Volume 36:Issue 3(2021)
• Page Start: 275
• Page End: 292
• Publication Date: 2021-05-04
• Subjects: Bacterial evolutionary algorithm -- synthetic bacteria -- bacterial agents -- Gro cell programming language; Parallel computers -- Periodicals; Electronic data processing -- Distributed processing -- Periodicals; Computer algorithms -- Periodicals; 004.35
• DOI: 10.1080/17445760.2021.1879072
• Languages: English
• ISSNs: 1744-5760

Abstract

ABSTRACT: Bacteria have been a source of inspiration for the design of evolutionary algorithms. At the beginning of the twentieth century synthetic biology was born, a discipline whose goal is the design of biological systems that do not exist in nature, for example, programmable synthetic bacteria. In this paper, we introduce as a novelty the designing of evolutionary algorithms where all the steps are conducted by synthetic bacteria. To this end, we designed a genetic algorithm, which we have named BAGA, illustrating its utility solving simple instances of optimisation problems such as function optimisation, 0/1 knapsack problem, Hamiltonian path problem. The results obtained open the possibility of conceiving evolutionary algorithms inspired by principles, mechanisms and genetic circuits from synthetic biology. In summary, we can conclude that synthetic biology is a source of inspiration either for the design of evolutionary algorithms or for some of their steps, as shown by the results obtained in our simulation experiments.