operations research

2 items

RESEARCHarXiv CS.AI·24d ago

Mixed Integer Goal Programming for Personalized Meal Optimization with User-Defined Serving Granularity

This paper proposes Mixed Integer Goal Programming (MIGP) for personalized meal optimization. The methodology addresses limitations of existing formulations by using integer variables for practical serving counts and goal programming deviations for soft nutrient targets, allowing user-defined serving granularity.

nutrition Optimization meal planning operations research

RESEARCHarXiv CS.CL·14d ago

TriVAL: A Tri-Validation Framework for Faithful Automatic Optimization Modeling

TriVAL is a novel tri-validation framework designed to enhance the accuracy of automatic optimization modeling by addressing the lack of explicit validation in current methods. It implements a construct-validate-revise loop across semantic specification, mathematical formulation, and code generation stages to mitigate errors and improve overall modeling fidelity.

AI accuracy validation framework optimization modeling operations research