solve_mixed_integer_program

Optimize Mixed-Integer Programming problems with integer, binary, and continuous variables. Define variables, constraints, and objectives, then solve using specified solvers like SCIP, CBC, GUROBI, or CPLEX within a given time limit.

Instructions

Solve Mixed-Integer Programming (MIP) problems with integer, binary, and continuous variables.

    Args:
        variables: List of variable definitions with bounds and types
        constraints: List of constraint definitions with coefficients and bounds
        objective: Objective function definition with coefficients and direction
        solver_name: Solver to use ("SCIP", "CBC", "GUROBI", "CPLEX")
        time_limit_seconds: Maximum solving time in seconds (default: 30.0)

    Returns:
        Optimization result with optimal variable values and objective
    

Input Schema

Name	Required	Default
`constraints`	Yes
`objective`	Yes
`solver_name`	No	SCIP
`time_limit_seconds`	No
`variables`	Yes

Input Schema (JSON Schema)

{
  "properties": {
    "constraints": {
      "items": {
        "additionalProperties": true,
        "type": "object"
      },
      "title": "Constraints",
      "type": "array"
    },
    "objective": {
      "additionalProperties": true,
      "title": "Objective",
      "type": "object"
    },
    "solver_name": {
      "default": "SCIP",
      "title": "Solver Name",
      "type": "string"
    },
    "time_limit_seconds": {
      "default": 30,
      "title": "Time Limit Seconds",
      "type": "number"
    },
    "variables": {
      "items": {
        "additionalProperties": true,
        "type": "object"
      },
      "title": "Variables",
      "type": "array"
    }
  },
  "required": [
    "variables",
    "constraints",
    "objective"
  ],
  "type": "object"
}

mcp-optimizer

solve_mixed_integer_program

Instructions

Input Schema

Input Schema (JSON Schema)

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