Editing Chromosome (evolutionary algorithm) (section)

=== Chromosomes for co-evolution ===
When a genetic representation contains, in addition to the decision variables, additional information that influences evolution and/or the mapping of the genotype to the phenotype and is itself subject to evolution, this is referred to as ''co-evolution''. A typical example is the [[evolution strategy]]  (ES), which includes one or more mutation step sizes as strategy parameters in each chromosome.<ref name=":3" /> Another example is an additional gene to control a selection heuristic for resource allocation in a scheduling tasks.<ref name=":6">{{Cite journal |last1=Jakob |first1=Wilfried |last2=Strack |first2=Sylvia |last3=Quinte |first3=Alexander |last4=Bengel |first4=Günther |last5=Stucky |first5=Karl-Uwe |last6=Süß |first6=Wolfgang |date=2013-04-22 |title=Fast Rescheduling of Multiple Workflows to Constrained Heterogeneous Resources Using Multi-Criteria Memetic Computing |department=p.253-255 |journal=Algorithms |language=en |volume=6 |issue=2 |pages=245–277 |doi=10.3390/a6020245 |issn=1999-4893|doi-access=free }}</ref>

This approach is based on the assumption that good solutions are based on an appropriate selection of strategy parameters or on control gene(s) that influences genotype-phenotype mapping. The success of the ES gives evidence to this assumption.