Seminar 9: Multi-criteria programming Problem 1: Use graphical method to find partial optimal solutions of the multicriteria linear program: z1 = 2x1 − x2 → max, z2 = x2 → max, on the feasible set X given by the constraints 2x1 + x2 ≤ 18, x1 + 2x2 ≤ 12, −x1 + x2 ≤ 3, x1, x2 ≥ 0 Consider aggregated objective function z = v1 · z1 + v2 · z2 using weights v1, v2 ≥ 0, v1 + v2 = 1. Describe the solution of z → maxx∈X with respect to the values of parameters v1, v2. Problem 2: Consider multi-criteria linear program: z1 = 3x1 + 2x2 + 10 → max, z2 = x1 − 4x2 + 10 → max subject to 4x1 + 2x2 ≤ 20 x1 + 3x2 ≤ 12 xj ≥ 0; j = 1, 2 Show that there is no ideal solution. Find a compromise solution using minimal component method. Do all the calculations by hand in the simplex table. Problem 3: Consider the nutritional problem of planning a daily diet for 100 people, with 9 kinds of basic foods available. Composition of foods in terms of important nutritional components and their prices (all converted to 100g of food) is in the table: energy proteins Fe vit. A vit. C chol. price [kJ] [g] [mg] [units] [mg] [mg] [CZK] pork meat 1200 18.4 3.1 20 0 83 12 butter 3000 0.6 0.2 2500 0 120 11.2 bread 1160 7.2 0.8 0 0 1 1.5 potatoes 300 1.6 0.6 40 10 0 1.2 apples 240 0 0.5 60 2 0 1.5 eidam cheese 1260 31.2 0.6 1100 0 71 10.6 chicken 650 20.2 1.5 0 0 57 6 yoghurt 450 7 0.2 260 0 11 4.5 strawberries 150 0 0.8 60 60 0 12 Nutritional experts have determined that the daily portion of adult nutrition should contain at least 80 g of protein, 15 mg of Fe, 6000 units of vitamin A and 200 mg of vitamin C. To plan a daily catering for 100 people, we need to determine an optimal composition of the diet while respecting the nutrition experts’ recommendations. We try to obtain solution with the highest energy value, the lowest cholesterol content and the lowest price. We have a maximum of 40 kg of each food. a) Find partial optima. b) Convert criteria ”cholesterol and energy”to constraints sequentially allowing for 10 % deviation from ideal solution. c) Convert criteria ”cholesterol and energy”to constraints simultaneously allowing for 10 % deviation from ideal solution