Mip1.java
/ * 2023年版权,Gurobi优狗万app足彩化,LLC * / / *本例制定和解决以下简单的MIP模型:最大化x + y + 2 z受到x + 2 y + 3 z < = 4 x + y > = 1 x, y, z二进制* /进口Gurobi。*;公开课Mip1{公共静态空main (String [] args){尝试{/ /创建空环境,设置选项,并开始GRBEnv env = new GRBEnv(真正的);env。设置(“记录文件”、“mip1.log”);env.start ();/ /创建空模型GRBModel模型= new GRBModel (env);/ /创建变量GRBVar x = model.addVar(0.0, 1.0, 0.0,伽马线暴。二、“x”);GRBVar y = model.addVar(0.0, 1.0, 0.0,伽马线暴。二、“y”);GRBVar z = model.addVar(0.0, 1.0, 0.0,伽马线暴。二、“z”);/ /设置目标:最大化x + y + 2 z GRBLinExpr expr = new GRBLinExpr (); expr.addTerm(1.0, x); expr.addTerm(1.0, y); expr.addTerm(2.0, z); model.setObjective(expr, GRB.MAXIMIZE); // Add constraint: x + 2 y + 3 z <= 4 expr = new GRBLinExpr(); expr.addTerm(1.0, x); expr.addTerm(2.0, y); expr.addTerm(3.0, z); model.addConstr(expr, GRB.LESS_EQUAL, 4.0, "c0"); // Add constraint: x + y >= 1 expr = new GRBLinExpr(); expr.addTerm(1.0, x); expr.addTerm(1.0, y); model.addConstr(expr, GRB.GREATER_EQUAL, 1.0, "c1"); // Optimize model model.optimize(); System.out.println(x.get(GRB.StringAttr.VarName) + " " +x.get(GRB.DoubleAttr.X)); System.out.println(y.get(GRB.StringAttr.VarName) + " " +y.get(GRB.DoubleAttr.X)); System.out.println(z.get(GRB.StringAttr.VarName) + " " +z.get(GRB.DoubleAttr.X)); System.out.println("Obj: " + model.get(GRB.DoubleAttr.ObjVal)); // Dispose of model and environment model.dispose(); env.dispose(); } catch (GRBException e) { System.out.println("Error code: " + e.getErrorCode() + ". " + e.getMessage()); } } }
