Abstract
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 language | English |
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Pages (from-to) | 251-261 |
Number of pages | 11 |
Journal | Memetic Computing |
Volume | 11 |
Issue number | 3 |
DOIs | |
State | Published - 1 Sep 2019 |
Keywords
- Cooperative coevolution
- Evolutionary algorithms
- Interpretation
ASJC Scopus subject areas
- General Computer Science
- Control and Optimization