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 | American English |
|---|---|
| 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
All Science Journal Classification (ASJC) codes
- General Computer Science
- Control and Optimization
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