00000cmm a22000005i 4500 UP-99796217611076561 Buklod 20230504003249.0 m go j cr |n |||auu|a 110915s2011 xx u | eng d 9783642173103(eBook) (iLib)UPD-00210205062 DLC DML eng QA76.623 C37 2011eb Miller, Julian F. editor. Cartesian Genetic Programming [electronic resource] edited by Julian F. Miller. Berlin, Heidelberg Springer Berlin Heidelberg 2011. 1 online resource (XXII, 344p.) Introduction -- Cartesian Genetic Programming -- Modular Cartesian Genetic Programming -- Self-modifying Cartesian Genetic Programming -- Evolution of Electronic Circuits -- Image Processing -- Developmental Approaches -- Artificial Neural Approaches -- Medical Applications -- Hardware Acceleration -- Control Applications -- Evolutionary Art -- Future Directions -- App. A, A Bibliography of CGP Papers -- App. B, CGP Software. 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. Electronic reproduction. New York SpringerLink 2011. Available via World Wide Web through SpringerLink. Computer science. Information theory. Artificial intelligence. Information systems. Computer aided design. Genetic programming (Computer science). Evolutionary programming (Computer science). Electronic books. SpringeringerLink (Online service). Springer eBooks. Printed edition 9783642173097. Electronic Resource http://link.springer.com/book/10.1007/978-3-642-17310-3 Available for University of the Philippines Diliman via SpringerLink. Click here to access (viewed 15 April 2014) FO Computer Science (Springer-11645) UPD DMLR Electronic Resource