research-article

Genetic Improvement of Genetic Programming

Author:

William B. LangdonAuthors Info & Claims

2020 IEEE Congress on Evolutionary Computation (CEC)

Pages 1 - 8

https://doi.org/10.1109/CEC48606.2020.9185771

Published: 19 July 2020 Publication History

Abstract

GISMOE BNF grammar based GI is applied to optimise run time of the tree interpreter in the fastest single computer floating point genetic programming system, GPavx. Up to two fold speed up is obtained. Performance varies with tree size. The GI version of Singleton’s C++ GPquick is demonstrated on random trees of up to 79 million opcodes on Intel AVX512 SIMD parallel compute servers.

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Cited By

Langdon WClark D(2025)Deep imperative mutations have less impactAutomated Software Engineering10.1007/s10515-024-00475-432:1Online publication date: 1-Jun-2025
https://dl.acm.org/doi/10.1007/s10515-024-00475-4
Langdon WPetke JBlot AClark DSilva SPaquete L(2023)Genetically Improved Software with fewer Data Cache MissesProceedings of the Companion Conference on Genetic and Evolutionary Computation10.1145/3583133.3590542(799-802)Online publication date: 15-Jul-2023
https://dl.acm.org/doi/10.1145/3583133.3590542
Langdon WAl-Subaihin ABlot AClark D(2023)Genetic Improvement of LLVM Intermediate RepresentationGenetic Programming10.1007/978-3-031-29573-7_16(244-259)Online publication date: 12-Apr-2023
https://dl.acm.org/doi/10.1007/978-3-031-29573-7_16
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cover image Guide Proceedings

2020 IEEE Congress on Evolutionary Computation (CEC)

Jul 2020

3280 pages

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IEEE Press

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Published: 19 July 2020

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Cited By

Langdon WClark D(2025)Deep imperative mutations have less impactAutomated Software Engineering10.1007/s10515-024-00475-432:1Online publication date: 1-Jun-2025
https://dl.acm.org/doi/10.1007/s10515-024-00475-4
Langdon WPetke JBlot AClark DSilva SPaquete L(2023)Genetically Improved Software with fewer Data Cache MissesProceedings of the Companion Conference on Genetic and Evolutionary Computation10.1145/3583133.3590542(799-802)Online publication date: 15-Jul-2023
https://dl.acm.org/doi/10.1145/3583133.3590542
Langdon WAl-Subaihin ABlot AClark D(2023)Genetic Improvement of LLVM Intermediate RepresentationGenetic Programming10.1007/978-3-031-29573-7_16(244-259)Online publication date: 12-Apr-2023
https://dl.acm.org/doi/10.1007/978-3-031-29573-7_16
Langdon WWagner M(2022)Genetic programming convergenceProceedings of the Genetic and Evolutionary Computation Conference Companion10.1145/3520304.3534063(27-28)Online publication date: 9-Jul-2022
https://dl.acm.org/doi/10.1145/3520304.3534063
Zuo SBlot APetke JWagner M(2022)Evaluation of genetic improvement tools for improvement of non-functional properties of softwareProceedings of the Genetic and Evolutionary Computation Conference Companion10.1145/3520304.3534004(1956-1965)Online publication date: 9-Jul-2022
https://dl.acm.org/doi/10.1145/3520304.3534004

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