Simplex Method (Use Big M-Method by H. Taha) M-Method. Consider the following set of constraints:-2x1 + 3x2 = 3(1)4x1 + 5x2 >10(2)X1 + 2x2 < 5(3)(5)6x1 +7x2 < 34x1 + 8x2 > 5X1, X2 ≥ 0For each of the following problems, develop the z-row after substitutingout the artificialvariables:(a) Maximize z = 5x1 + 6x2 subject to (1), (3), and (4).(b) Maximizez = 2x1 - 7x2 subject to (1), (2), (4), and (5).

Answered: M-Method. Consider the following set of…

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter8: Evolutionary Solver: An Alternative Optimization Procedure

Section8.5: Combinatorial Models

Problem 6P

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To formulate a minimization problem for solution by the simplex method, we must add slack variables to a. only inequality constraints. b. only “less than” constraints. c. only “greater than” constraints. d. all inequality constraints.
Find solution using BigM (penalty) method.Maximize Z = x1 + 2x2 + 3x3 - x4subject to the constraintsx1 + 2x2 + 3x3 = 152x1 + x2 + 5x3 = 20x1 + 2x2 + x3 + x4 = 10and x1, x2, x3, x4 ≥ 0
Consider the following puzzle. You are to pick out 4three-letter “words” from the following list:DBA DEG ADI FFD GHI BCD FDF BAIFor each word, you earn a score equal to the position thatthe word’s third letter appears in the alphabet. For example,DBA earns a score of 1, DEG earns a score of 7, and so on.Your goal is to choose the four words that maximize yourtotal score, subject to the following constraint: The sum ofthe positions in the alphabet for the first letter of each wordchosen must be at least as large as the sum of the positionsin the alphabet for the second letter of each word chosen.Formulate an IP to solve this problem.
4. Consider the following linear programming problem: Maximize Z=$15x + $5y, subject to (1) 2x + y ≤ 10 and (2) 4x + 3y ≤ 24 and (3) x, y ≥ 0. Will the optimal solution change if the objective function becomes Maximize Z=$15x + $20y (constraints remain the same)? Select one: a. Can't determine given the information. b. Yes, it will change. c. No, it remains the same.
Set up the simplex matrix used to solve the linear programming problem. Assume all variables are nonnegative.Maximize f = 5x + 9y subject to 8x + 5y ≤ 200 x + 6y ≤ 250. x y s1 s2 f first constraint second constraint objective function
23. Consider the following constraints from a two-variable linear program: X ≥ 1; Y ≥ 1; X + Y ≤ 9. If these are the only constraints, which of the following points (X, Y) CANNOT be the optimal solution? Part 2 A. (1, 8) B. (8, 1) C. (4, 4) D. (1, 1) E. The question cannot be answered without knowing the objective function.
Given the following 2 constraints, which solution is a feasible solution for a minimization problem? (1) 7 x1 + 3 x2 ≥ 21 (2) x1 + 3 x2 ≥ 6 Group of answer choices (x1, x2) = (2, 5) (x1, x2) = (1, 2) (x1, x2) = (0, 4) (x1, x2) = (0.5, 5)
Consider the following set of constraints (Maixmization problem): 43X+ 86Y>= 29, and 129X+ 43Y >= 14.5. The following is true for this problem: a. Unbounded problem. b. X = 0, Y = 43 is the only optimal solution. c. X=43, Y=-7 is the only optimal solution. d. Infeasible problem. Clear my choice
We have 60 meters of fence and want to fence a triangular shaped area. Please formulate an NLP (do not try to solve) that will enable us to maximize the fenced area (Hint: The area of a triangle with sides of length a, b, and c is ( s (s – a) (s – b) (s – c))1/2, where s is half the parameter of the triangle).
Example 1. The Big M Method solve LP with mixed constraints Minimize: Z = 4x1 + 2x2 + x3 Subject to: 2x1 + 3x2 + 4x3 ≤ 14 3x1 + x2 + 5x3 ≥ 4 x1 + 4x2 + 3x3 ≥ 6 x1, x2, x3≥ 0
True or False 1. Given three corner points A, B, and C of a linear programming problem, if A is adjacent to B and B is adjacent to C, then A can be determined from C by interchanging exactly two basic and two nonbasic variables. 2. For a set of primary and dual solutions to be feasible, the objective function value of the primary (Z) can never exceed that of the dual (W) no matter which problem is to maximize and which is to minimize. 3. If the current iteration is degenerate, the next iteration will also be degenerate. 4. The optimal (dual) primary solution can be obtained from the dual (primary) optimal tableau.
Solve the following Linear programming problem using the simplex method:Maximize Z = 10X1 + 15X2 + 20X3subject to:2X1 + 4X2 + 6X3 ≤ 243X1 + 9X2 + 6X3 ≤ 30X1, X2 and X3 ≥ 0(b) Suppose X1, X2, X3 in (a) refer to number of red, blue, and green balloons respectivelywhich are produced by a company per day. And Z is the total profit obtained afterselling these balloons. Interpret your answer obtained in (a) above(c) Write the dual of the following linear programming problem:Minimize Z = 2X1 − 3X2 + 4X3subject to:3X1 + 4X2 + 5X3 ≥ 96X1 + X2 + 3X3 ≥ 47X1 − 2X2 − X3 ≤ 105x1 − 2X2 + X3 ≥ 34X1 + 6X2 − 2X3 ≥ 3X1, X2 and X3 ≥ 0

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