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Two-level automatic software optimization using cooperative co-evolutionary algorithms

delete2026-03-17
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OA
AI
J
José Miguel Aragón-Jurado *
J
Juan Carlos de la Torre
Y
Yusuke Nojima
P
Patricia Ruiz
B
Bernabè Dorronsoro
DOI:10.1016/j.asoc.2026.115066delete
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Abstract

Abstract

En 中文
• Examines the impact of the legacy and new LLVM pass managers on automatic software optimization. • Introduces a two-level optimization framework that integrates both pass managers. • Employs a cooperative co-evolutionary strategy to address the joint optimization problem. • Demonstrates substantial runtime improvements—up to 99.41% compared to non-optimized baselines.
Keywords:
Source code transformation
Cooperative coevolution
Runtime
LLVM
Software performance
Genetic algorithms
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Journal

Applied Soft Computing cover
Applied Soft Computing
IF:
6.6
Papers:
1.4W
Citations:
4.8W

Organization

O
osaka metropolitan university
Scholars:
1.9K
Papers: 718
Citations: 0
U
university of cadiz
Scholars:
363
Papers: 157
Citations: 1