This book constitutes the refereed proceedings of the 22nd European Conference on Genetic Programming, EuroGP 2019, held as part of Evo* 2019, in Leipzig, Germany, in April 2019, co-located with the Evo* events EvoCOP, EvoMUSART, and EvoApplications. The 12 revised full papers and 6 short papers presented in this volume were carefully reviewed and selected from 36 submissions. They cover a wide range of topics and reflect the current state of research in the field. With a special focus on real-world applications in 2019, the papers are devoted to topics such as the test data design in software engineering, fault detection and classification of induction motors, digital circuit design, mosquito abundance prediction, machine learning and cryptographic function design.
... California · Ken Marko of the Scientific Research Laboratories of Ford Motor Company , Dearborn , Michigan · John Miller of Carnegie - Mellon University · Melanie Mitchell of the University of Michigan • Howard Oakley of the Isle ...
This unique overview of this exciting technique is written by three of the most active scientists in GP. See www.gp-field-guide.org.uk for more information on the book.
This book is ideal for academicians, biological engineers, computer programmers, scientists, researchers, and upper-level students seeking the latest research on genetic programming.
For hierarchical program structures as used in GP the random initialization utilizes a maximum initial tree depth Dmax. As introduced in [Koz92b] and for example reflected on in [ES03], there are two possibilities for creating random ...
Siegel, E. V. (1994). ... Genetic programming with C++. BYTE, pages 171–176. ... In Siegel, E. V. and Koza, J. R., editors, Working Notes for the AAAI Symposium on Genetic Programming, pages 99-105, MIT, Cambridge, MA, USA. AAAI.
This book shows that abstract data types can be similarly beneficial to the automatic production of programs using GP. Genetic Programming and Data Structures: Genetic Programming + Data Structures = Automatic Programming! shows how ...
These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of ...
This contributed volume, written by leading international researchers, reviews the latest developments of genetic programming (GP) and its key applications in solving current real world problems, such as energy conversion and management, ...
Koza, Bennett, Andre, and Keane present genetically evolved solutions to dozens of problems of design, optimal control, classification, system identification, function learning, and computational molecular biology.
... a reasonable first approximation of the behaviour of GP with one-point crossover. Stephens and Waelbroeck analysed their schema theorem (cf. Equation (5.3) page 73) and claim that the presence of the terms (equivalent to) p(L(H, i.) ...