arXiv paper proposes iterative sequential transfer for few-shot multiobjective multitask optimization

A new preprint on arXiv describes a method that applies iterative sequential knowledge transfer to few-shot multiobjective multitask optimization. The work targets the challenge of sharing useful information across related optimization tasks when only limited data is available. It focuses on improving transfer mechanisms, a key bottleneck in multitask optimization research.