# Genetic Algorithm MCQ Quiz

34 Questions | Attempts: 19319  Settings  Do you know about the genetic algorithm? Take this quiz and give answers to some of the commonly asked MCQs related to this evolutionary algorithm. A genetic algorithm is a way of solving some optimization problems that don’t matter if they are constrained or unconstrained. It is essential for one to get a proper hold of this algorithm when it comes to data mining. Do you think you can do so? Try out this quiz and get the chance to test your understanding of the genetic algorithm. Good luck

• 1.
The use of simulation models is desirable because they can usually be solved in one pass, without incurring the time and cost of iterations. State true or false.
• A.

True

• B.

False

• 2.
LCS stands for
• A.

Learning classes system

• B.

Learning classifier systems

• C.

Learned class system

• D.

None

• 3.
An advantage of simulation is that it allows model builders to solve problems with minimal interaction with users or managers. State true or false.
• A.

True

• B.

False

• 4.
Time compression in a simulation allows managers to test certain strategies with less risk. State true or false.
• A.

True

• B.

False

• 5.
Simulation solutions cannot easily be transferred from one problem domain to another. State true or false.
• A.

True

• B.

False

• 6.
Determining the duration of the simulation occurs before the model is validated and tested. State true or false.
• A.

True

• B.

False

• 7.
Discrete events and agent-based models are usually used for middle or low levels of abstraction. State true or false.
• A.

True

• B.

False

• 8.
In steady-state plant control design, the time-independent simulation would be appropriate. State true or false.
• A.

True

• B.

False

• 9.
The simulation does not usually allow decision makers to see how a solution to a complex problem evolves over (compressed) time, nor can decision makers interact with the simulation. State true or false.
• A.

True

• B.

False

• 10.
Visual interactive simulation (VIS) is a simulation method that lets decision-makers see what the model is doing and how it interacts with the decisions made, as they are made. State true or false.
• A.

True

• B.

False

• 11.
Visual interactive modeling (VIM) systems, especially those developed for the military and the video-game industry, have "thinking" characters who can behave with a relatively high level of intelligence in their interactions with users. State true or false.
• A.

True

• B.

False

• 12.
Blind search is different from optimization because
• A.

It cannot result in optimal solutions whereas optimization methods do.

• B.

It represents a guided approach whereas optimization follows an unguided approach.

• C.

It usually does not conclude in one step like some optimization methods.

• D.

It is usually a more efficient problem solving approach than optimization.

• 13.
In modeling, an optimal solution is understood to be
• A.

A solution that can only be determined by an exhaustive enumeration and testing of alternatives.

• B.

A solution found in the least possible time and using the least possible computing resources

• C.

A solution that is the best based on criteria defined in the design phase

• D.

A solution that requires an algorithm for determination.

• 14.
When is a complete enumeration of solutions used?
• A.

When a solution that is "good enough" is fine and good heuristics are available

• B.

when there is enough time and computational power available

• C.

when the modeler requires a guided approach to problem solving

• D.

when there are an infinite number of solutions to be searched

• 15.
What is not true about heuristics?
• A.

Heuristics are used when the modeler requires a guided approach to problem solving.

• B.

Heuristics are used when a solution that is "good enough" is sought.

• C.

Heuristics are used when there is abundant time and computational power.

• D.

Heuristics are rules of good judgment.

• 16.
Which approach is most suited to structured problems with little uncertainty?
• A.

Simulation

• B.

Human intuition

• C.

Optimization

• D.

Genetic algorithms

• 17.
Genetic algorithms belong to the family of methods in the ____________.
• A.

Artificial intelligence area.

• B.

Optimization area.

• C.

Complete enumeration family of methods

• D.

Non-computer based (human) solutions area

• 18.
Which is not a suitable problems for genetic algorithms?
• A.

Dynamic process control.

• B.

Pattern recognition with complex patterns.

• C.

Simulation of biological models.

• D.

Simple optimization with few variables.

• 19.
Which approach is most suited to complex problems with significant uncertainty, a need for experimentation, and time compression?
• A.

simulation

• B.

optimization

• C.

human intuition

• D.

genetic algorithms

• 20.
Which of the following is an advantage of simulation?
• A.

It can incorporate significant real-life complexity.

• B.

It always results in optimal solutions.

• C.

Simulation software requires special skills.

• D.

It solves problems in one pass with no iterations

• 21.
In which stage of the simulation methodology do you determine the variables and gather data?
• A.

Defining the problem

• B.

Constructing the simulation model

• C.

Testing and validating the model

• D.

Designing the experiment

• 22.
In which stage of the simulation methodology we determine how long do we need to run the simulation?
• A.

When constructing the simulation model.

• B.

When designing the experiment.

• C.

When testing and validating the model.

• D.

When defining the problem.

• 23.
In which stage of the simulation methodology do you determine the system's boundaries and environment?
• A.

Constructing the simulation model

• B.

Defining the problem

• C.

Testing and validating the model

• D.

Designing the experiment

• 24.
What BEST describes a simulation model with a limited number of variables, each with a finite number of values?
• A.

System dynamics simulation

• B.

Discrete event simulation

• C.

Continuous distribution simulation

• D.

Monte Carlo simulation

• 25.
What BEST describes a simulation model in which it is not important to know exactly when a modeled event occurred?
• A.

Continuous distribution simulation

• B.

Time-independent simulation

• C.

System dynamics simulation

• D.

Discrete event simulation

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