Posted by agreement for lease on June 23, 2026 at 15:19:27:
In Reply to: megabono posted by megabono on June 20, 2023 at 15:12:30:
Abstract:Optimization fashions developed by operations analysis (OR) consultants are sometimes deployed as resolution-help techniques in industrial settings.
However, real-world environments are dynamic, with
evolving business rules and unforeseen perturbations.
In such contexts, finish users should ideally re-optimize models to get better possible and implementable options,
often with out entry to the original mannequin developers.
This paper introduces an agentic re-optimization framework by which a large language mannequin (LLM) acts as
an OR skilled, dynamically supporting end customers by means
of pure-language interplay. The LLM translates user prompts into structured updates of the
underlying optimization mannequin, selects appropriate re-optimization methods
from an optimization toolbox, and solves the resulting occasion to return implementable solutions.
The toolbox leverages primal data, together with historical solutions, legitimate inequalities, solver
configurations, and metaheuristics, to speed up re-optimization while preserving answer high quality.
The proposed framework allows interactive and continuous adaptation of deployed optimization models, reducing dependence
on OR experts, and bettering the sustainability of resolution-assist programs.
Extensive experiments on two complementary massive-scale actual-world case research show the effectiveness
and scalability of the proposed framework. The first considers on-line supply chain re-optimization, where solutions have to
be generated rapidly whereas remaining close to the deployed plan,
whereas the second focuses on offline college
examination scheduling, the place answer quality is prioritized over runtime.
Results present that the toolbox-driven structure significantly
improves computational effectivity by means of primal-based mostly and solver-aware re-optimization methods, while the structured patch-based updates enhance interpretability and traceability of mannequin modifications.