A comprehensive survey on program synthesis with evolutionary algorithms
The automatic generation of computer programs is one of the main applications with
practical relevance in the field of evolutionary computation. With program synthesis …
practical relevance in the field of evolutionary computation. With program synthesis …
Choose your programming copilot: a comparison of the program synthesis performance of github copilot and genetic programming
GitHub Copilot, an extension for the Visual Studio Code development environment powered
by the large-scale language model Codex, makes automatic program synthesis available for …
by the large-scale language model Codex, makes automatic program synthesis available for …
Riccardo Poli, William B. Langdon, Nicholas F. McPhee: A Field Guide to Genetic Programming: Lulu. com, 2008, 250 pp, ISBN 978-1-4092-0073-4
M O'Neill - 2009 - Springer
The latest book on Genetic Programming, Poli, Langdon and McPhee's (with contributions
from John R. Koza) A Field Guide to Genetic Programming represents an exciting landmark …
from John R. Koza) A Field Guide to Genetic Programming represents an exciting landmark …
[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 …
solutions for given problems. It especially focuses on Evolutionary Computation by …
Solving uncompromising problems with lexicase selection
We describe a broad class of problems, called “uncompromising problems,” which are
characterized by the requirement that solutions must perform optimally on each of many test …
characterized by the requirement that solutions must perform optimally on each of many test …
PSB2: the second program synthesis benchmark suite
T Helmuth, P Kelly - Proceedings of the Genetic and Evolutionary …, 2021 - dl.acm.org
For the past six years, researchers in genetic programming and other program synthesis
disciplines have used the General Program Synthesis Benchmark Suite to benchmark many …
disciplines have used the General Program Synthesis Benchmark Suite to benchmark many …
Applying genetic programming to PSB2: the next generation program synthesis benchmark suite
T Helmuth, P Kelly - Genetic Programming and Evolvable Machines, 2022 - Springer
For the past seven years, researchers in genetic programming and other program synthesis
disciplines have used the General Program Synthesis Benchmark Suite (PSB1) to …
disciplines have used the General Program Synthesis Benchmark Suite (PSB1) to …
Problem-solving benefits of down-sampled lexicase selection
In genetic programming, an evolutionary method for producing computer programs that
solve specified computational problems, parent selection is ordinarily based on aggregate …
solve specified computational problems, parent selection is ordinarily based on aggregate …
Genetic programming: An introduction and tutorial, with a survey of techniques and applications
The goal of having computers automatically solve problems is central to artificial
intelligence, machine learning, and the broad area encompassed by what Turing called …
intelligence, machine learning, and the broad area encompassed by what Turing called …
Program synthesis using uniform mutation by addition and deletion
Most genetic programming systems use mutation and crossover operators to create child
programs from selected parent programs. Typically the mutation operator will replace a …
programs from selected parent programs. Typically the mutation operator will replace a …