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September 10, 2025Applied SciencesOpen Access

Auxiliary Population Multitask Optimization Based on Chinese Semantic Understanding

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APMTO significantly improves multitask optimization outcomes compared to existing algorithms.
Key evidence shows that APMTO used adaptive similarity estimation for enhanced task evaluation.
Analysis involved testing APMTO on the multitask test suite CEC2022 against advanced EMTO algorithms.
These findings highlight the potential for better application in Chinese semantic understanding through APMTO.

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This work presents an adaptive method to enhance multitask optimization in Chinese, suggesting effective knowledge transfer strategies.

Yuan et al. (2025) studied this question.

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