Class LinearOptimizationService
Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
LayananPengoptimalanLinear
Layanan pengoptimalan linear, yang digunakan untuk membuat model dan menyelesaikan program linear dan linear bilangan bulat
campuran. Contoh di bawah ini menyelesaikan program linear berikut:
Dua variabel, x
dan y
:
0 ≤ x ≤ 10
0 ≤ y ≤ 5
Batasan:
0 ≤ 2 * x + 5 * y ≤ 10
0 ≤ 10 * x + 3 * y ≤ 20
Tujuan:
Maksimalkan x + y
const engine = LinearOptimizationService.createEngine();
// Add variables, constraints and define the objective using addVariable(),
// addConstraint(), etc. Add two variables, 0 <= x <= 10 and 0 <= y <= 5
engine.addVariable('x', 0, 10);
engine.addVariable('y', 0, 5);
// Create the constraint: 0 <= 2 * x + 5 * y <= 10
let constraint = engine.addConstraint(0, 10);
constraint.setCoefficient('x', 2);
constraint.setCoefficient('y', 5);
// Create the constraint: 0 <= 10 * x + 3 * y <= 20
constraint = engine.addConstraint(0, 20);
constraint.setCoefficient('x', 10);
constraint.setCoefficient('y', 3);
// Set the objective to be x + y
engine.setObjectiveCoefficient('x', 1);
engine.setObjectiveCoefficient('y', 1);
// Engine should maximize the objective.
engine.setMaximization();
// Solve the linear program
const solution = engine.solve();
if (!solution.isValid()) {
Logger.log(`No solution ${solution.getStatus()}`);
} else {
Logger.log(`Value of x: ${solution.getVariableValue('x')}`);
Logger.log(`Value of y: ${solution.getVariableValue('y')}`);
}
Properti
Properti | Jenis | Deskripsi |
Status | Status | Status pemecah. |
VariableType | VariableType | Jenis variabel yang dibuat oleh solver. |
Dokumentasi mendetail
createEngine()
Membuat mesin untuk menyelesaikan program linear (mungkin program bilangan bulat campuran).
// Creates a linear optimization engine.
const engine = LinearOptimizationService.createEngine();
engine.addVariable('x', 0, 10);
// ...
Pulang pergi
LinearOptimizationEngine
— mesin pengoptimalan linear
Kecuali dinyatakan lain, konten di halaman ini dilisensikan berdasarkan Lisensi Creative Commons Attribution 4.0, sedangkan contoh kode dilisensikan berdasarkan Lisensi Apache 2.0. Untuk mengetahui informasi selengkapnya, lihat Kebijakan Situs Google Developers. Java adalah merek dagang terdaftar dari Oracle dan/atau afiliasinya.
Terakhir diperbarui pada 2025-07-26 UTC.
[null,null,["Terakhir diperbarui pada 2025-07-26 UTC."],[[["\u003cp\u003eThe Linear Optimization Service enables the modeling and resolution of linear and mixed-integer linear programs within Apps Script.\u003c/p\u003e\n"],["\u003cp\u003eIt provides functionalities to define variables, constraints, and objectives for optimization problems.\u003c/p\u003e\n"],["\u003cp\u003eThe service utilizes a dedicated engine, created via \u003ccode\u003ecreateEngine()\u003c/code\u003e, to process and solve the defined linear programs.\u003c/p\u003e\n"],["\u003cp\u003eSolutions can be retrieved and assessed for validity, providing values for optimized variables or indicating an infeasible solution.\u003c/p\u003e\n"],["\u003cp\u003eDevelopers can access detailed documentation and examples for utilizing the Linear Optimization Service effectively.\u003c/p\u003e\n"]]],["The `LinearOptimizationService` solves linear and mixed-integer linear programs. Key actions include creating an engine via `createEngine()`, adding variables (e.g., 'x', 'y') with bounds using `addVariable()`, and defining constraints with `addConstraint()` and `setCoefficient()`. The objective is set using `setObjectiveCoefficient()`, specifying maximization with `setMaximization()`. Finally, `solve()` computes the solution, and results are accessed via methods such as `getVariableValue()`. The service also includes properties like `Status` and `VariableType`.\n"],null,["# Class LinearOptimizationService\n\nLinearOptimizationService\n\nThe linear optimization service, used to model and solve linear and mixed-integer linear\nprograms. The example below solves the following linear program:\n\nTwo variables, `x` and `y`: \n\n\n`0 ≤ x ≤ 10`\n\n\n`0 ≤ y ≤ 5`\n\n\nConstraints: \n\n\n`0 ≤ 2 * x + 5 * y ≤ 10`\n\n\n`0 ≤ 10 * x + 3 * y ≤ 20`\n\n\nObjective: \n\nMaximize `x + y`\n\n\n```javascript\nconst engine = LinearOptimizationService.createEngine();\n\n// Add variables, constraints and define the objective using addVariable(),\n// addConstraint(), etc. Add two variables, 0 \u003c= x \u003c= 10 and 0 \u003c= y \u003c= 5\nengine.addVariable('x', 0, 10);\nengine.addVariable('y', 0, 5);\n\n// Create the constraint: 0 \u003c= 2 * x + 5 * y \u003c= 10\nlet constraint = engine.addConstraint(0, 10);\nconstraint.setCoefficient('x', 2);\nconstraint.setCoefficient('y', 5);\n\n// Create the constraint: 0 \u003c= 10 * x + 3 * y \u003c= 20\nconstraint = engine.addConstraint(0, 20);\nconstraint.setCoefficient('x', 10);\nconstraint.setCoefficient('y', 3);\n\n// Set the objective to be x + y\nengine.setObjectiveCoefficient('x', 1);\nengine.setObjectiveCoefficient('y', 1);\n\n// Engine should maximize the objective.\nengine.setMaximization();\n\n// Solve the linear program\nconst solution = engine.solve();\nif (!solution.isValid()) {\n Logger.log(`No solution ${solution.getStatus()}`);\n} else {\n Logger.log(`Value of x: ${solution.getVariableValue('x')}`);\n Logger.log(`Value of y: ${solution.getVariableValue('y')}`);\n}\n``` \n\n### Properties\n\n| Property | Type | Description |\n|------------------|-------------------------------------------------------------------|------------------------------------------|\n| `Status` | [Status](/apps-script/reference/optimization/status) | Status of the solver. |\n| `Variable``Type` | [VariableType](/apps-script/reference/optimization/variable-type) | Type of variables created by the solver. |\n\n### Methods\n\n| Method | Return type | Brief description |\n|-----------------------------------|--------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------|\n| [createEngine()](#createEngine()) | [LinearOptimizationEngine](/apps-script/reference/optimization/linear-optimization-engine) | Creates an engine to to solve linear programs (potentially mixed-integer programs). |\n\nDetailed documentation\n----------------------\n\n### `create``Engine()`\n\nCreates an engine to to solve linear programs (potentially mixed-integer programs).\n\n```javascript\n// Creates a linear optimization engine.\nconst engine = LinearOptimizationService.createEngine();\nengine.addVariable('x', 0, 10);\n\n// ...\n```\n\n#### Return\n\n\n[LinearOptimizationEngine](/apps-script/reference/optimization/linear-optimization-engine) --- a linear optimization engine"]]