A Survey on Evolutionary Multitask Optimization

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Evolutionary multitask optimization (EMTO) addresses the challenge of solving multiple related problems simultaneously.
The literature review reveals significant advancements in EMTO methods and their practical applications in computational intelligence.
Core principles of EMTO include knowledge transfer between tasks, akin to transfer learning in artificial intelligence.
The paper outlines potential future research directions and suggests improvements in the implementation of EMTO frameworks.

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Systematic review highlights knowledge transfer and benchmark challenges in evolutionary multitask optimization research.

Luo et al. (2025) studied this question.

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