TY - BOOK ID - 93799210 TI - Cartesian Genetic Programming AU - Miller, Julian F AU - SpringerLink (Online service) PY - 2011 SN - 9783642173103 PB - Berlin, Heidelberg Springer Berlin Heidelberg DB - UniCat KW - Human sciences (algemeen) KW - Electrical engineering KW - Applied physical engineering KW - Computer science KW - Programming KW - Artificial intelligence. Robotics. Simulation. Graphics KW - Computer. Automation KW - toegepaste informatica KW - informatica KW - sociale wetenschappen KW - KI (kunstmatige intelligentie) KW - elektrotechniek KW - CAD (computer aided design) KW - robots UR - https://www.unicat.be/uniCat?func=search&query=sysid:93799210 AB - Cartesian Genetic Programming (CGP) is a highly effective and increasingly popular form of genetic programming. It represents programs in the form of directed graphs, and a particular characteristic is that it has a highly redundant genotype-phenotype mapping, in that genes can be noncoding. It has spawned a number of new forms, each improving on the efficiency, among them modular, or embedded, CGP, and self-modifying CGP. It has been applied to many problems in both computer science and applied sciences. This book contains chapters written by the leading figures in the development and application of CGP, and it will be essential reading for researchers in genetic programming and for engineers and scientists solving applications using these techniques. It will also be useful for advanced undergraduates and postgraduates seeking to understand and utilize a highly efficient form of genetic programming. ER -