Guidelines: From artificial evolution to computational evolution: a research agenda
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Updated: Aug 6, 2026

A Practical Guide to Phage- and Robotics-Assisted Near-Continuous Evolution
Published on: January 12, 2024
Wolfgang Banzhaf1, Guillaume Beslon, Steffen Christensen
1Department of Computer Science, Memorial University of Newfoundland, St John's, Newfoundland and Labrador A1B 3X5, Canada. banzhaf@cs.mun.ca
Abstract:
Computational scientists have developed algorithms inspired by natural evolution for at least 50 years. These algorithms solve optimization and design problems by building solutions that are 'more fit' relative to desired properties. However, the basic assumptions of this approach are outdated. We propose a research programme to develop a new field: computational evolution. This approach will produce algorithms that are based on current understanding of molecular and evolutionary biology and could solve previously unimaginable or intractable computational and biological problems.
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