Question 1

The data used to classify members in a discriminant analysis is called a:

Accepted Answer

A) group 
B) cluster 
C) training sample 
D) population 
A) group 
B) cluster 
C) training sample 
D) population

Question 2

Mutations are useful for getting a genetic algorithm "unstuck".

Accepted Answer

A) True 
 B)False

Question 3

Which of the following is not a form of non-linear pricing?

Accepted Answer

A) Two-part tariff 
B) Surplus value 
C) Selling only single item packs or packs of n items 
D) Charging one price for the first n items and another price for the rest 
A) Two-part tariff 
B) Surplus value 
C) Selling only single item packs or packs of n items 
D) Charging one price for the first n items and another price for the rest

Question 4

Exhibit 8-4Steve the salesman must travel along a route from his home in Denver that visits all of the cities shown below exactly once before returning home. The mileage between each city on the route is also listed below:
  
-Refer to Exhibit 8-4. Formulate and solve a shortest-path model using Evolutionary Solver. What is the shortest distance Steve can travel and visit all cities? What is the route?

Accepted Answer

The shortest path an

Question 5

If the classification matrix from a discriminant analysis shows a high percentage of correct classification, then we can be confident that the classification will work well for other populations.

Accepted Answer

A) True 
 B)False

Question 6

The initial set of chromosomes generated by a genetic algorithm is called the population.

Accepted Answer

A) True 
 B)False

Question 7

The Evolutionary Solver setting that helps the algorithm explore a completely different area of the feasible region is:

Accepted Answer

A) convergence 
B) mutation rate 
C) population size 
D) random seed 
A) convergence 
B) mutation rate 
C) population size 
D) random seed

Question 8

Which of the following is true regarding Evolutionary Solver?

Accepted Answer

A) It is efficient at handling constraints 
B) A good starting is critical to the success of it finding a solution 
C) It places more of a burden on you to specify certain parameters of the algorithm 
D) Running it a second time for a problem should yield the same solution 
A) It is efficient at handling constraints 
B) A good starting is critical to the success of it finding a solution 
C) It places more of a burden on you to specify certain parameters of the algorithm 
D) Running it a second time for a problem should yield the same solution

Question 9

Which of the following is not one of the Excel functions that necessitate the use of Evolutionary Solver to obtain solutions?

Accepted Answer

A) SUM 
B) IF 
C) MAX 
D) MIN 
A) SUM 
B) IF 
C) MAX 
D) MIN

Question 10

Exhibit 8-3A standardized testing agency would like to understand the role of tests in admission decisions at top business schools. It is particularly interested in the relative roles played by the GRE and the undergraduate GPA in the admissions process. It has gathered the following data for 50 randomly sampled applicants (which has been sorted by Admitted):
  
-Refer to Exhibit 8-3. Use a discriminant analysis to develop a classification model. What is the best percentage correctly classified obtained with your model?

Accepted Answer

Using Evolutionary S

The data used to classify members in a discriminant analysis is called a:

Mutations are useful for getting a genetic algorithm "unstuck".

Which of the following is not a form of non-linear pricing?

If the classification matrix from a discriminant analysis shows a high percentage of correct classification, then we can be confident that the classification will work well for other populations.

The initial set of chromosomes generated by a genetic algorithm is called the population.

The Evolutionary Solver setting that helps the algorithm explore a completely different area of the feasible region is:

Which of the following is true regarding Evolutionary Solver?

Which of the following is not one of the Excel functions that necessitate the use of Evolutionary Solver to obtain solutions?

Introduction to Modeling

Introduction to Spreadsheet Modeling

Introduction to Optimization Modeling

Linear Programming Models

Network Models

Optimization Models With Integer Variables

Nonlinear Optimization Models

Decision Making Under Uncertainty

Introduction to Simulation Modeling

Simulation Models

Inventory and Supply Chain Models

Queuing Models

Regression and Forecasting Models

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Exam 8: Evolutionary Solver: An Alternative Optimization Procedure

The data used to classify members in a discriminant analysis is called a:

Mutations are useful for getting a genetic algorithm "unstuck".

Which of the following is not a form of non-linear pricing?

If the classification matrix from a discriminant analysis shows a high percentage of correct classification, then we can be confident that the classification will work well for other populations.

The initial set of chromosomes generated by a genetic algorithm is called the population.

The Evolutionary Solver setting that helps the algorithm explore a completely different area of the feasible region is:

Which of the following is true regarding Evolutionary Solver?

Which of the following is not one of the Excel functions that necessitate the use of Evolutionary Solver to obtain solutions?

Introduction to Modeling

Introduction to Spreadsheet Modeling

Introduction to Optimization Modeling

Linear Programming Models

Network Models

Optimization Models With Integer Variables

Nonlinear Optimization Models

Decision Making Under Uncertainty

Introduction to Simulation Modeling

Simulation Models

Inventory and Supply Chain Models

Queuing Models

Regression and Forecasting Models

Filters