Evolving Ensembles: What Can We Learn from Biological Mutualisms?

Michael Adam Lones, Stuart E. Lacy, Stephen L. Smith

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Ensembles are groups of classifiers which cooperate in order to reach a decision. Conventionally, the members of an ensemble are trained sequentially, and typically independently, and are not brought together until the final stages of ensemble generation. In this paper, we discuss the potential benefits of training classifiers together, so that they learn to interact at an early stage of their development. As a potential mechanism for achieving this, we consider the biological concept of mutualism, whereby cooperation emerges over the course of biological evolution. We also discuss potential mechanisms for implementing this approach within an evolutionary algorithm context.
Original languageEnglish
Title of host publicationInformation Processing in Cells and Tissues
Subtitle of host publication10th International Conference, IPCAT 2015, San Diego, CA, USA, September 14-16, 2015, Proceedings
EditorsMichael Lones, Andy Tyrrell, Stephen Smith, Gary Fogel
PublisherSpringer International Publishing
Pages52-60
Number of pages9
Volume9303
ISBN (Electronic)978-3-319-23108-2
ISBN (Print)978-3-319-23107-5
DOIs
Publication statusPublished - 2 Sep 2015
Event10th International Conference - California, San Diego, United States
Duration: 14 Sep 201516 Sep 2015

Publication series

NameLecture Notes in Computer Science
Volume9303
ISSN (Print)0302-9743

Conference

Conference10th International Conference
Abbreviated titleIPCAT 2015
CountryUnited States
CitySan Diego
Period14/09/1516/09/15
OtherInformation Processing in Cells and Tissues

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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  • Cite this

    Lones, M. A., Lacy, S. E., & Smith, S. L. (2015). Evolving Ensembles: What Can We Learn from Biological Mutualisms? In M. Lones, A. Tyrrell, S. Smith, & G. Fogel (Eds.), Information Processing in Cells and Tissues: 10th International Conference, IPCAT 2015, San Diego, CA, USA, September 14-16, 2015, Proceedings (Vol. 9303, pp. 52-60). (Lecture Notes in Computer Science; Vol. 9303). Springer International Publishing. https://doi.org/10.1007/978-3-319-23108-2_5