Improving a Parallel C++ Intel SSE SIMD Linear Genetic Programming Interpreter

Created by W.Langdon from gp-bibliography.bib Revision:1.8670

@InProceedings{langdon:2026:GI,

• author = "William B. Langdon and Carol Hanna",
• title = "Improving a Parallel {C++ Intel SSE SIMD} Linear Genetic Programming Interpreter",
• booktitle = "15th International Workshop on Genetic Improvement @ICSE 2026",
• year = "2026",
• editor = "Aymeric Blot and Oliver Krauss",
• address = "Rio de Janeiro",
• month = "12 " # apr,
• keywords = "genetic algorithms, genetic programming, genetic improvement",
• size = "6 pages",
• abstract = "We use evolution to speedup a C++ linear genetic programming interpreter. MAGPIE (Machine Automated General Performance Improvement via Evolution of software) is provided with the existing hand optimised code, its revision history and the Intel 256 bit SSE documentation as C++ XML. Magpie's fitness function concentrates upon the fitness function of Peter Nordin's linear genetic programming GPengine. Linux mprotect sandboxes whilst performance is given by perf instruction count. In a matter of hours local search automatically sped up 128 lines of manually written parallel SIMD code for the Intel Advanced Vector Extensions (AVX) by 2 percent.",
• notes = "GI @ ICSE 2026,

  ",

}

Genetic Programming entries for William B Langdon Carol Hanna

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