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Class 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

Tujuan:
Memaksimalkan 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 tujuan 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 tujuan 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());

Return

Number — nilai fungsi tujuan

`getStatus()`

Mendapatkan status solusi. Sebelum menyelesaikan 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());

Return

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

Return

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;
}

Return

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