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 …
developed by Julian Miller in 1999-2000. In its classic form, it uses a very simple integer …
Genetic programming needs better benchmarks
Genetic programming (GP) is not a field noted for the rigor of its benchmarking. Some of its
benchmark problems are popular purely through historical contingency, and they can be …
benchmark problems are popular purely through historical contingency, and they can be …
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 …
approximately 20 years old. It represents solutions to computational problems as graphs. Its …
Recent developments in cartesian genetic programming and its variants
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 …
advantages. During the last one and a half decades, CGP has been further extended to …
Fast learning neural networks using cartesian genetic programming
A fast learning neuroevolutionary algorithm for both feedforward and recurrent networks is
proposed. The method is inspired by the well known and highly effective Cartesian genetic …
proposed. The method is inspired by the well known and highly effective Cartesian genetic …
Evolutionary Machine Learning in Medicine
MA Lones, SL Smith - Handbook of Evolutionary Machine Learning, 2023 - Springer
This chapter reviews applications of evolutionary machine learning within the medical
domain. It is divided into three parts. The first two parts give examples of recent work in two …
domain. It is divided into three parts. The first two parts give examples of recent work in two …
The delivery assignment solution for swarms of UAVs dealing with multi-dimensional chromosome representation of genetic algorithm
This paper describes the implementation steps used to assign a swarm of unmanned aerial
vehicles (UAVs) tasked to effectively deliver items to target locations. Several possible and …
vehicles (UAVs) tasked to effectively deliver items to target locations. Several possible and …
General Boolean Function Benchmark Suite
Just over a decade ago, the first comprehensive review on the state of benchmarking in
Genetic Programming (GP) analyzed the mismatch between the problems that are used to …
Genetic Programming (GP) analyzed the mismatch between the problems that are used to …
Mammogram classification using sparse-ROI: A novel representation to arbitrary shaped masses
KP Kanadam, SR Chereddy - Expert Systems with Applications, 2016 - Elsevier
Masses in breast are the important radiographic signs of cancer. Developing automated
detection of these masses is the main objective in the medical detection of breast cancer …
detection of these masses is the main objective in the medical detection of breast cancer …
Recurrent cartesian genetic programming of artificial neural networks
AJ Turner, JF Miller - Genetic Programming and Evolvable Machines, 2017 - Springer
Abstract Cartesian Genetic Programming of Artificial Neural Networks is a
NeuroEvolutionary method based on Cartesian Genetic Programming. Cartesian Genetic …
NeuroEvolutionary method based on Cartesian Genetic Programming. Cartesian Genetic …