OMNIREP: originating meaning by coevolving encodings and representations

Moshe Sipper, Jason H. Moore

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


A major effort in the practice of evolutionary computation goes into deciding how to represent individuals in the evolving population. This task is actually composed of two subtasks: defining a data structure that is the representation and defining the encoding that enables to interpret the representation. In this paper we employ a coevolutionary algorithm—dubbed OMNIREP—to discover both a representation and an encoding that solve a particular problem of interest. We describe four experiments that provide a proof-of-concept of OMNIREP’s essential merit. We think that the proposed methodology holds potential as a problem solver and also as an exploratory medium when scouting for good representations.

Original languageEnglish
Pages (from-to)251-261
Number of pages11
JournalMemetic Computing
Issue number3
StatePublished - 1 Sep 2019


  • Cooperative coevolution
  • Evolutionary algorithms
  • Interpretation

ASJC Scopus subject areas

  • General Computer Science
  • Control and Optimization


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