arXiv — cs.AI preprintsInternational5 October 2026
Autoresearch in Mixed-Integer Linear and Nonlinear Programming
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arXiv:2609.39360v2 Announce Type: replace Abstract: Despite recent progress in autoresearch, applying it to practical operations research problems, typically formulated as NP-hard mixed-integer linear or nonlinear programs (MILPs or MINLPs), remains challenging because effective research requires systematically managing competing ideas and long-horizon experimental trajectories. We introduce AutoMIP, a reusable agent skill for organizing long-horizon autoresearch in mixed-integer programming through idea pooling and algorithm tree search. AutoMIP maintains a persistent pool of complementary ca
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