Toward a gene regulatory network model for evolving chemotaxis behavior

Neale SAMWAYS, Yaochu JIN, Xin YAO, Bernhard SENDHOFF

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

1 Citation (Scopus)


Inspired from bacteria, a gene regulatory network model for signal transduction is presented in this paper. After describing experiments on stabilizing the population size for sustained open-ended evolution, we examine the ability of the model to evolve gradient-following behavior resembling bacterial chemotaxis. Under the conditions defined in this paper, an overwhelming chemotaxis behavior does not seem to emerge. Further experimentation suggests that chemotaxis is selectively favored, however, it is shown that the gradient information, which is critical for evolving chemotaxis, is heavily degraded under the current regime. It is hypothesized that lack of consistent gradient information results in the selection of nonchemotaxis behavior. Future work on revising the model as well as the environmental setups is discussed. © 2008 IEEE.
Original languageEnglish
Title of host publication2008 IEEE Congress on Evolutionary Computation, CEC 2008
Number of pages8
Publication statusPublished - Jun 2008
Externally publishedYes


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