Class LinearOptimizationSolution

LinearOptimizationSolution

Solusi dari program linear. 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

Objektif:
Perbesar x + y

var engine = LinearOptimizationService.createEngine();

// Add variables, constraints and define the objective with 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
var constraint = engine.addConstraint(0, 10);
constraint.setCoefficient('x', 2);
constraint.setCoefficient('y', 5);

// Create the constraint: 0 <= 10 * x + 3 * y <= 20
var 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
var solution = engine.solve();
if (!solution.isValid()) {
  Logger.log('No solution ' + solution.getStatus());
} else {
  Logger.log('Objective  value: ' + solution.getObjectiveValue());
  Logger.log('Value of x: ' + solution.getVariableValue('x'));
  Logger.log('Value of y: ' + solution.getVariableValue('y'));
}

Metode

Metode	Jenis hasil yang ditampilkan	Deskripsi singkat
getObjectiveValue()	Number	Mendapatkan nilai fungsi objektif dalam solusi saat ini.
getStatus()	Status	Mendapatkan status solusi.
getVariableValue(variableName)	Number	Mendapatkan nilai variabel dalam solusi yang dibuat oleh panggilan terakhir ke LinearOptimizationEngine.solve().
isValid()	Boolean	Menentukan apakah solusi tersebut layak atau optimal.

Dokumentasi mendetail

getObjectiveValue()

Mendapatkan nilai fungsi objektif dalam solusi saat ini.

var engine = LinearOptimizationService.createEngine();

// Add variables, constraints and define the objective with addVariable(), addConstraint(), etc
engine.addVariable('x', 0, 10);

// ...

// Solve the linear program
var solution = engine.solve();
Logger.log('ObjectiveValue: ' + solution.getObjectiveValue());

Pulang pergi

Number — nilai fungsi objektif

---

getStatus()

Mendapatkan status solusi. Sebelum memecahkan masalah, statusnya akan menjadi NOT_SOLVED.

var engine = LinearOptimizationService.createEngine();

// Add variables, constraints and define the objective with addVariable(), addConstraint(), etc
engine.addVariable('x', 0, 10);

// ...

// Solve the linear program
var solution = engine.solve();
if (solution.getStatus() != LinearOptimizationService.Status.FEASIBLE &&
    solution.getStatus() != LinearOptimizationService.Status.OPTIMAL) {
  throw 'No solution ' + status;
}
Logger.log('Status: ' + solution.getStatus());

Pulang pergi

Status — status pemecah

---

getVariableValue(variableName)

Mendapatkan nilai variabel dalam solusi yang dibuat oleh panggilan terakhir ke LinearOptimizationEngine.solve().

var engine = LinearOptimizationService.createEngine();

// Add variables, constraints and define the objective with addVariable(), addConstraint(), etc
engine.addVariable('x', 0, 10);

// ...

// Solve the linear program
var solution = engine.solve();
Logger.log('Value of x: ' + solution.getVariableValue('x'));

Parameter

Nama	Jenis	Deskripsi
variableName	String	nama variabel

Pulang pergi

Number — nilai variabel dalam solusi

---

isValid()

Menentukan apakah solusi tersebut layak atau optimal.

var engine = LinearOptimizationService.createEngine();

// Add variables, constraints and define the objective with addVariable(), addConstraint(), etc
engine.addVariable('x', 0, 10);

// ...

// Solve the linear program
var solution = engine.solve();
if (!solution.isValid()) {
  throw 'No solution ' + status;
}

Pulang pergi

Boolean — true jika solusinya valid (Status.FEASIBLE atau Status.OPTIMAL); false jika tidak