Cartesian genetic programming

J Miller, A Turner - Proceedings of the Companion Publication of the …, 2015 - dl.acm.org
Cartesian Genetic Programming (CGP) is a well-known form of Genetic Programming
developed by Julian Miller in 1999-2000. In its classic form, it uses a very simple integer …

[PDF][PDF] Global optimization algorithms-theory and application

T Weise - Self-Published Thomas Weise, 2009 - researchgate.net
This e-book is devoted to global optimization algorithms, which are methods to find optimal
solutions for given problems. It especially focuses on Evolutionary Computation by …

Challenges of evolvable hardware: past, present and the path to a promising future

PC Haddow, AM Tyrrell - Genetic Programming and Evolvable Machines, 2011 - Springer
Nature is phenomenal. The achievements in, for example, evolution are everywhere to be
seen: complexity, resilience, inventive solutions and beauty. Evolvable Hardware (EH) is a …

Cartesian genetic programming: its status and future

JF Miller - Genetic Programming and Evolvable Machines, 2020 - Springer
Cartesian genetic programming, a well-established method of genetic programming, is
approximately 20 years old. It represents solutions to computational problems as graphs. Its …

Redundancy and computational efficiency in cartesian genetic programming

JF Miller, SL Smith - IEEE Transactions on evolutionary …, 2006 - ieeexplore.ieee.org
The graph-based Cartesian genetic programming system has an unusual genotype
representation with a number of advantageous properties. It has a form of redundancy …

Recent developments in cartesian genetic programming and its variants

A Manazir, K Raza - ACM Computing Surveys (CSUR), 2019 - dl.acm.org
Cartesian Genetic Programming (CGP) is a variant of Genetic Programming with several
advantages. During the last one and a half decades, CGP has been further extended to …

Self-learning gene expression programming

J Zhong, YS Ong, W Cai - IEEE Transactions on Evolutionary …, 2015 - ieeexplore.ieee.org
In this paper, a novel self-learning gene expression programming (GEP) methodology
named SL-GEP is proposed to improve the search accuracy and efficiency of GEP. In …

The automatic acquisition, evolution and reuse of modules in cartesian genetic programming

JA Walker, JF Miller - IEEE Transactions on Evolutionary …, 2008 - ieeexplore.ieee.org
This paper presents a generalization of the graph-based genetic programming (GP)
technique known as Cartesian genetic programming (CGP). We have extended CGP by …

A comparative study on crossover in cartesian genetic programming

J Husa, R Kalkreuth - … : 21st European Conference, EuroGP 2018, Parma …, 2018 - Springer
Abstract Cartesian Genetic Programming is often used with mutation as the sole genetic
operator. Compared to the fundamental knowledge about the effect and use of mutation in …

Generalized disjunction decomposition for evolvable hardware

E Stomeo, T Kalganova… - IEEE Transactions on …, 2006 - ieeexplore.ieee.org
Evolvable hardware (EHW) refers to self-reconfiguration hardware design, where the
configuration is under the control of an evolutionary algorithm (EA). One of the main …