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Linear and nonlinear programming – MCQs – EE

1. Linear programming problems have:

(A) Nonlinear constraints only


(B) Linear objective function and linear constraints


(C) Step response only


(D) Quadratic objective function



2. The feasible region in linear programming is:

(A) Non-convex


(B) Convex polygon


(C) Step response only


(D) Hyperbola



3. The objective function in linear programming is:

(A) The function to be minimized or maximized


(B) Step response only


(C) Load current only


(D) Voltage magnitude



4. Constraints in linear programming can be:

(A) Inequalities or equalities


(B) Step response only


(C) Only reactive power


(D) Load flow only



5. The Simplex method is used for:

(A) Linear programming problems


(B) Step response only


(C) Nonlinear optimization only


(D) Load flow only



6. In nonlinear programming, the objective function is:

(A) Linear


(B) Nonlinear


(C) Step response only


(D) Load flow only



7. Lagrange multipliers are used to:

(A) Solve constrained optimization problems


(B) Step response only


(C) Only linear equations


(D) Load current measurement



8. Kuhn-Tucker conditions apply to:

(A) Nonlinear programming with inequality constraints


(B) Step response only


(C) Only linear programming


(D) Load flow only



9. Graphical method can be used for:

(A) Two-variable linear programming problems


(B) Step response only


(C) Nonlinear programming only


(D) Load flow only



10. Slack variables are introduced to:

(A) Convert inequalities into equalities


(B) Step response only


(C) Only measure current


(D) Load flow only



11. Surrogate constraint method is used in:

(A) Nonlinear programming


(B) Step response only


(C) Linear programming only


(D) Load flow only



12. Gradient-based methods are used in:

(A) Nonlinear optimization


(B) Step response only


(C) Only linear equations


(D) Load flow only



13. Convexity of the objective function ensures:

(A) Global optimum exists


(B) Step response only


(C) Local optimum only


(D) Load flow only



14. Penalty function methods help to:

(A) Handle constraints in nonlinear programming


(B) Step response only


(C) Only linear programming


(D) Measure RMS voltage



15. Dynamic programming solves problems by:

(A) Breaking into simpler subproblems


(B) Step response only


(C) Only plotting curves


(D) Load shedding only



16. Objective function in economic dispatch is:

(A) Minimize fuel cost


(B) Step response only


(C) Voltage magnitude only


(D) Load current only



17. Nonlinear constraints can be:

(A) Equations or inequalities


(B) Step response only


(C) Only linear


(D) Load flow only



18. Iterative methods are often used in:

(A) Nonlinear programming


(B) Step response only


(C) Only linear equations


(D) Load flow only



19. Sensitivity analysis in LP helps to:

(A) Determine how changes in coefficients affect optimal solution


(B) Step response only


(C) Voltage measurement only


(D) Load current only



20. Duality in linear programming provides:

(A) Relationship between primal and dual problems


(B) Step response only


(C) Only load flow


(D) RMS voltage only



21. Kuhn-Tucker multipliers are analogous to:

(A) Lagrange multipliers in nonlinear programming


(B) Step response only


(C) Load flow only


(D) RMS voltage



22. Simplex iterations terminate when:

(A) Optimal solution is reached


(B) Step response only


(C) Voltage drops


(D) Load current exceeds rating



23. Piecewise linearization can be applied to:

(A) Approximate nonlinear functions in linear programming


(B) Step response only


(C) Only nonlinear programming


(D) Load flow only



24. Feasible region in nonlinear programming can be:

(A) Non-convex or disconnected


(B) Step response only


(C) Only convex


(D) Load flow only



25. Sequential quadratic programming (SQP) solves:

(A) Nonlinear programming problems iteratively


(B) Step response only


(C) Only linear programming


(D) Load flow only



26. Lagrangian function is used to:

(A) Combine objective and constraints for optimization


(B) Step response only


(C) Only linear equations


(D) Load current measurement



27. Slack and surplus variables are used to:

(A) Transform inequalities into equalities


(B) Step response only


(C) Only measure voltage


(D) Load flow only



28. Gradient descent is:

(A) A local search method for nonlinear optimization


(B) Step response only


(C) Only for linear programming


(D) Load flow method



29. Convergence criteria in nonlinear programming include:

(A) Maximum iterations and tolerance for changes in objective


(B) Step response only


(C) Load flow only


(D) Voltage magnitude only



30. Multi-objective programming optimizes:

(A) More than one objective simultaneously


(B) Step response only


(C) Only single-objective


(D) Load flow only



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