Chromosome (evolutionary algorithm): Difference between revisions

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* Design of the chromosome in such a way that it covers only the search space and no additional areas. so that there is no [[Genetic representation#Redundancy|redundancy]] or only as little redundancy as possible.
 
* Observance of [[Causality conditions|strong causality]]: small changes in the chromosome should only lead to small changes in the phenotype.<ref>{{Cite journalbook |last1=Galván-López |first1=Edgar |last2=McDermott |first2=James |last3=O'Neill |first3=Michael |last4=Brabazon |first4=Anthony |datetitle=2010-07-07Proceedings of the 12th annual conference on Genetic and evolutionary computation |titlechapter=Towards an understanding of locality in genetic programming |date=2010-07-07 |chapter-url=https://dl.acm.org/doi/10.1145/1830483.1830646 |journal=Proceedings of the 12th Annual Conference on Genetic and Evolutionary Computation |language=en |___location=Portland Oregon USA |publisher=ACM |pages=901–908 |doi=10.1145/1830483.1830646 |isbn=978-1-4503-0072-8|s2cid=15348983 |url=https://mural.maynoothuniversity.ie/15390/1/EG_towards.pdf }}</ref> This is also called [[Genetic representation#Locality|locality]] of the relationship between search and problem space.
* Designing the chromosome in such a way that it excludes prohibited regions in the search space completely or as much as possible.