ABC-MLCO: an Artificial Bee Colony algorithm with Machine Learning for Constrained Optimization in HPC

In this folder, you can find: The code for replicating the experimental results of our paper. The code for gathering data and plotting the figures. The logs of the numerical results of the test functions (ABC-MLCO and ABC). The logs of the numerical results of LiGen (ABC-MLCO, ABC, EMaliboo and OpenTuner).

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-05
DOI
https://doi.org/10.5281/zenodo.15345318
Primary Topic
Metaheuristic Optimization Algorithms Research
Type
article
Field-Weighted Citation Impact
0.00
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article

ABC-MLCO: an Artificial Bee Colony algorithm with Machine Learning for Constrained Optimization in HPC

Zenodo (CERN European Organization for Nuclear Research)
Metaheuristic Optimization Algorithms Research
article

ABC-MLCO: an Artificial Bee Colony algorithm with Machine Learning for Constrained Optimization in HPC

article en

Abstract

In this folder, you can find: The code for replicating the experimental results of our paper. The code for gathering data and plotting the figures. The logs of the numerical results of the test functions (ABC-MLCO and ABC). The logs of the numerical results of LiGen (ABC-MLCO, ABC, EMaliboo and OpenTuner).

Zenodo (CERN European Organization for Nuclear Research)
Politecnico di Milano (IT)
Openalex Percentile: Top 77%
Metaheuristic Optimization Algorithms Research
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