Genetic Programming and Autoconstructive Evolution with the Push Programming Language

By Lee Spector, Alan J. Robinson. Genetic Programming and Evolvable Machines, 2002

303 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Foundations of Genetic Programming (2002, unknown): “The genetic programming system used in the work reported here is PushGP (Spector, 2001, 2004; Spector & Robinson, 2002; Spector et al., 2005).”
Genetic programming for finite algebras (2008, background): “Push is a stack-based programming language designed specifically for code evolution [26].”
On the difficulty of benchmarking inductive program synthesis methods (2017, methodology): “When the original benchmark paper [8] was published, PushGP had not been able to find solutions to the Checksum problem.”
Automatic programming: The open issue? (2019, background): “…representation has long been a subject of research in genetic programming, with work exploring genetic encodings such as binary, integer, tree, linear-tree, graphs, and grammars (e.g., [7, 8, 10–13, 27, 32, 42, 43, 67]), along with work on searching the representation space itself [29, 47, 59].”
Global Optimization Algorithms -- Theory and Application (2009, methodology): “This approach has been exercised with the PushGP system [897, 898, 705, 901, 902].”
Program synthesis using uniform mutation by addition and deletion (2018, methodology): “Here we study UMAD in the context of the PushGP genetic programming system [15, 16], recent versions of which generate”