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Genconstr.java


/ * 2018年版权,Gurobi优狗万app足彩化,LLC * / / *In this example we show the use of general constraints for modeling some common expressions. We use as an example a SAT-problem where we want to see if it is possible to satisfy at least four (or all) clauses of the logical for L = (x0 or ~x1 or x2) and (x1 or ~x2 or x3) and (x2 or ~x3 or x0) and (x3 or ~x0 or x1) and (~x0 or ~x1 or x2) and (~x1 or ~x2 or x3) and (~x2 or ~x3 or x0) and (~x3 or ~x0 or x1) We do this by introducing two variables for each literal (itself and its negated value), a variable for each clause, and then two variables for indicating if we can satisfy four, and another to identify the minimum of the clauses (so if it one, we can satisfy all clauses) and put these two variables in the objective. i.e. the Objective function will be maximize Obj0 + Obj1 Obj0 = MIN(Clause1, ... , Clause8) Obj1 = 1 -> Clause1 + ... + Clause8 >= 4 thus, the objective value will be two if and only if we can satisfy all clauses; one if and only if at least four clauses can be satisfied, and zero otherwise. */ import gurobi.*; public class Genconstr { public static final int n = 4; public static final int NLITERALS = 4; // same as n public static final int NCLAUSES = 8; public static final int NOBJ = 2; public static void main(String[] args) { try { // Example data: // e.g. {0, n+1, 2} means clause (x0 or ~x1 or x2) int Clauses[][] = new int[][] {{ 0, n+1, 2}, { 1, n+2, 3}, { 2, n+3, 0}, { 3, n+0, 1}, {n+0, n+1, 2}, {n+1, n+2, 3}, {n+2, n+3, 0}, {n+3, n+0, 1}}; int i, status, nSolutions; // Create environment GRBEnv env = new GRBEnv("Genconstr.log"); // Create initial model GRBModel model = new GRBModel(env); model.set(GRB.StringAttr.ModelName, "Genconstr"); // Initialize decision variables and objective GRBVar[] Lit = new GRBVar[NLITERALS]; GRBVar[] NotLit = new GRBVar[NLITERALS]; for (i = 0; i < NLITERALS; i++) { Lit[i] = model.addVar(0.0, 1.0, 0.0, GRB.BINARY, "X" + String.valueOf(i)); NotLit[i] = model.addVar(0.0, 1.0, 0.0, GRB.BINARY, "notX" + String.valueOf(i)); } GRBVar[] Cla = new GRBVar[NCLAUSES]; for (i = 0; i < NCLAUSES; i++) { Cla[i] = model.addVar(0.0, 1.0, 0.0, GRB.BINARY, "Clause" + String.valueOf(i)); } GRBVar[] Obj = new GRBVar[NOBJ]; for (i = 0; i < NOBJ; i++) { Obj[i] = model.addVar(0.0, 1.0, 1.0, GRB.BINARY, "Obj" + String.valueOf(i)); } // Link Xi and notXi GRBLinExpr lhs; for (i = 0; i < NLITERALS; i++) { lhs = new GRBLinExpr(); lhs.addTerm(1.0, Lit[i]); lhs.addTerm(1.0, NotLit[i]); model.addConstr(lhs, GRB.EQUAL, 1.0, "CNSTR_X" + String.valueOf(i)); } // Link clauses and literals for (i = 0; i < NCLAUSES; i++) { GRBVar[] clause = new GRBVar[3]; for (int j = 0; j < 3; j++) { if (Clauses[i][j] >= n) clause[j] = NotLit[Clauses[i][j]-n]; else clause[j] = Lit[Clauses[i][j]]; } model.addGenConstrOr(Cla[i], clause, "CNSTR_Clause" + String.valueOf(i)); } // Link objs with clauses model.addGenConstrMin(Obj[0], Cla, GRB.INFINITY, "CNSTR_Obj0"); lhs = new GRBLinExpr(); for (i = 0; i < NCLAUSES; i++) { lhs.addTerm(1.0, Cla[i]); } model.addGenConstrIndicator(Obj[1], 1, lhs, GRB.GREATER_EQUAL, 4.0, "CNSTR_Obj1"); // Set global objective sense model.set(GRB.IntAttr.ModelSense, GRB.MAXIMIZE); // Save problem model.write("Genconstr.mps"); model.write("Genconstr.lp"); // Optimize model.optimize(); // Status checking status = model.get(GRB.IntAttr.Status); if (status == GRB.INF_OR_UNBD || status == GRB.INFEASIBLE || status == GRB.UNBOUNDED ) { System.out.println("The model cannot be solved " + "because it is infeasible or unbounded"); System.exit(1); } if (status != GRB.OPTIMAL) { System.out.println("Optimization was stopped with status " + status); System.exit(1); } // Print result double objval = model.get(GRB.DoubleAttr.ObjVal); if (objval > 1.9) System.out.println("Logical expression is satisfiable"); else if (objval > 0.9) System.out.println("At least four clauses can be satisfied"); else System.out.println("Not even three clauses can be satisfied"); // Dispose of model and environment model.dispose(); env.dispose(); } catch (GRBException e) { System.out.println("Error code: " + e.getErrorCode() + ". " + e.getMessage()); } } }