High dimensionality often challenges the efficiency and accuracy of a classifier, while evolutionary feature selection is an effective method for data preprocessing and dimensionality reduction.

Most existing multiobjective evolutionary algorithms treat all decision variables as a whole to perform genetic operations and optimize all objectives with one population at the same time. Considering ...

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Recently, Professor Jiao Licheng's team at Xidian University conducted a systematic and in-depth review of the integration of large language models and evolutionary algorithms. The review ...

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FANDANGO, a new open-source fuzzing tool, uses an evolutionary algorithm to automatically generate myriads of high-quality test inputs that satisfy defined constraints. Advancing language-based ...

Open-source fuzzer uses evolutionary algorithm to produce customized test inputs by Eva Michely, CISPA Helmholtz Center for Information Security ...