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Optimization Modeling Agent

The Optimization Modeling Agent provides a smooth template-driven experience for formalizing and solving complex mathematical optimization problems using various industry-standard solvers.

Basic Features

  • Template Engine: One click creates a project with problem description, mathematical model, and baseline Python solver code.
  • Solver License Configuration: Supports one-click binding for commercial solvers. OR-Tools and CPLEX are built in on the platform. If you need Gurobi or COPT, you can connect them directly by entering the license through the platform.
  • Deep AI Integration: Use the Optimization Agent to turn natural-language requests directly into code development and result analysis.

Example Workflow

  1. Based on the optimization scenario you want to study, choose a suitable category template from the system library and create a project.
  2. Configure the solver license: click the third icon in the left sidebar to open the license configuration page. If you are using a commercial solver, upload the license file or enter the LICENSEID. After configuration, use Test to check connectivity, then click Save.
  3. Drag the real problem document, such as problem.docx, or the dataset into the project, or select Add File to Chat.
  4. In the chat interface, select Optimization Agent after choosing the model provider.
  5. Enter a prompt such as:

    "Based on the problem description in problem.docx, solve this optimization problem and generate a detailed solution report in PDF."

Sample Project

You can view a complete sample project here: Optimization Modeling Sample Project

Example Video