| P. van Remortel, T. Lenaerts, and B. Manderick. Lineage and induction in the development of evolved genotypes for non-uniform 2D CAs. In Proceedings of the 15th Australian Joint Conference on Artificial Intelligence, volume 2557 of Lecture Notes in Computer Science, pages 321--332, London, UK, 2002. Springer-Verlag. |
....(EHW) or the evolution of neural networks, the scalability problem of genetic algorithms (GAs) has kept applications in a toy problem phase. A promising suggestion is to take the analogy with biology one step further and adopt a bio inspired development mapping between the genotype and phenotype [Kit98,BK99,HTvR,vRLM02]. This holds the promise of improved modularity of the phenotype, relatively shorter genotypes for complex phenotypes, remapping of the search space to improve search performance (e.g. by neutrality) etc. An obvious disadvantage is the low degree of evolvability of developmental representations : ....
....models of development mappings between genotype and phenotype often consist of rule type genes. In order to develop a given genotype (which is a collection of rules) the rules are sequentially applied to a starting structure (equivalent to a zygote) to obtain a nal phenotype (for an example see [vRLM02]) In this context our results imply that : 1. NKd(Pl) NK) If the tness contribution of a rule gene depends on the activation of a constant amount of other rule genes, then the position on the genotype of the in uencing rule genes is of no in uence no in uence on the evolutionary properties ....
Piet van Remortel, Tom Lenaerts, and Bernard Manderick. Lineage and Induction in the Development of Evolved Genotypes for Non-Uniform 2D CAs. In proceedings of the 15th Australian Joint Conference on Arti cial Intelligence 2002, Canberra, Australia, 2002.
....role of development in evolution of electronic circuits. It is our intention to investigate both the properties of usable developmental mechanisms (e.g. stability and statistical properties of the mapping related to neutrality, biological properties usable in computational development models [vRLM02] etc. and investigate the relation with the properties of the implementation platform in relation with the possibility of non deterministic development (e.g. wiring, analog versus digital, etc) ....
Piet van Remortel, Tom Lenaerts, and Bernard Manderick. Lineage and Induction in the Development of Evolved Genotypes for Non-Uniform 2D CAs. In proceedings of the 15th Australian Joint Conference on Arti cial Intelligence 2002, Canberra, Australia, 2002.
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P. van Remortel, T. Lenaerts, and B. Manderick. Lineage and induction in the development of evolved genotypes for non-uniform 2D CAs. In Proceedings of the 15th Australian Joint Conference on Artificial Intelligence, volume 2557 of Lecture Notes in Computer Science, pages 321--332, London, UK, 2002. Springer-Verlag.
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