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390+ Soft Computing and Optimization Algorithms Solved MCQs

These multiple-choice questions (MCQs) are designed to enhance your knowledge and understanding in the following areas: Uncategorized topics .

101.

What Is Another Name For Fuzzy Inference Systems?

A. fuzzy expert system
B. fuzzy modelling
C. fuzzy logic controller
D. all of the above
Answer» D. all of the above
102.

In Evolutionary programming, survival selection is

A. probabilistic selection (μ+μ) selection
B. (μ, λ)- selection based on the children only (μ+λ)- selection based on both the set of parent and children
C. children replace the parent
D. all the mentioned
Answer» A. probabilistic selection (μ+μ) selection
103.

In Evolutionary strategy, survival selection is

A. probabilistic selection (μ+μ) selection
B. (μ, λ)- selection based on the children only (μ+λ)- selection based on both the set of parent and children
C. children replace the parent
D. all the mentioned
Answer» B. (μ, λ)- selection based on the children only (μ+λ)- selection based on both the set of parent and children
104.

In Evolutionary programming, recombination is

A. doesnot use recombination to produce offspring. it only uses mutation
B. uses recombination such as cross over to produce offspring
C. uses various recombination operators
D. none of the mentioned
Answer» A. doesnot use recombination to produce offspring. it only uses mutation
105.

In Evolutionary strategy, recombination is

A. doesnot use recombination to produce offspring. it only uses mutation
B. uses recombination such as cross over to produce offspring
C. uses various recombination operators
D. none of the mentioned
Answer» B. uses recombination such as cross over to produce offspring
106.

Step size in non-adaptive EP :

A. deviation in step sizes remain static
B. deviation in step sizes change over time using some deterministic function
C. deviation in step size change dynamically
D. size=1
Answer» A. deviation in step sizes remain static
107.

Step size in dynamic EP :

A. deviation in step sizes remain static
B. deviation in step sizes change over time using some deterministic function
C. deviation in step size change dynamically
D. size=1
Answer» B. deviation in step sizes change over time using some deterministic function
108.

Step size in self-adaptive EP :

A. deviation in step sizes remain static
B. deviation in step sizes change over time using some deterministic function
C. deviation in step size change dynamically
D. size=1
Answer» C. deviation in step size change dynamically
109.

What are normally the two best measurement units for an evolutionary algorithm?
1. Number of evaluations
2. Elapsed time
3. CPU Time
4. Number of generations

A. 1 and 2
B. 2 and 3
C. 3 and 4
D. 1 and 4
Answer» D. 1 and 4
110.

Evolutionary Strategies (ES)

A. (µ,λ): select survivors among parents and offspring
B. (µ+λ): select survivors among parents and offspring
C. (µ-λ): select survivors among offspring only
D. (µ:λ): select survivors among offspring only
Answer» B. (µ+λ): select survivors among parents and offspring
111.

In Evolutionary programming,

A. individuals are represented by real-valued vector
B. individual solution is represented as a finite state machine
C. individuals are represented as binary string
D. none of the mentioned
Answer» B. individual solution is represented as a finite state machine
112.

In Evolutionary Strategy,

A. individuals are represented by real-valued vector
B. individual solution is represented as a finite state machine
C. individuals are represented as binary string
D. none of the mentioned
Answer» A. individuals are represented by real-valued vector
113.

(1+1) ES

A. offspring becomes parent if offspring\s fitness is as good as parent of next generation
B. offspring become parent by default
C. offspring never becomes parent
D. none of the mentioned
Answer» A. offspring becomes parent if offspring\s fitness is as good as parent of next generation
114.

(1+λ) ES

A. λ mutants can be generated from one parent
B. one mutant is generated
C. 2λ mutants can be generated
D. no mutants are generated
Answer» A. λ mutants can be generated from one parent
115.

Termination condition for EA

A. mazimally allowed cpu time is elapsed
B. total number of fitness evaluations reaches a given limit
C. population diveristy drops under a given threshold
D. all the mentioned
Answer» D. all the mentioned
116.

Which of the following operator is simplest selection operator?

A. random selection
B. proportional selection
C. tournament selection
D. none
Answer» A. random selection
117.

Which crossover operators are used in evolutionary programming?

A. single point crossover
B. two point crossover
C. uniform crossover
D. evolutionary programming doesnot use crossover operators
Answer» D. evolutionary programming doesnot use crossover operators
118.

(1+1) ES

A. operates on population size of two
B. operates on populantion size of one
C. operates on populantion size of zero
D. operates on populantion size of λ
Answer» A. operates on population size of two
119.

Which of these emphasize of development of behavioral models?

A. evolutionary programming
B. genetic programming
C. genetic algorithm
D. all the mentioned
Answer» A. evolutionary programming
120.

EP applies which evolutionary operators?

A. variation through application of mutation operators
B. selection
C. both a and b
D. none of the mentioned
Answer» C. both a and b
121.

Which selection strategy works with negative fitness value?

A. roulette wheel selection
B. stochastic universal sampling
C. tournament selection
D. rank selection
Answer» D. rank selection
122.

Who can deal with noisy input information

A. soft computing
B. hard computing
C. both a and b
D. none of the above
Answer» A. soft computing
123.

Ability to learn how to do task based on the data is done by

A. self organization
B. adaptive learning
C. fault tolerance
D. robustness
Answer» B. adaptive learning
124.

Which of the following is not a technique of soft computing

A. neural network
B. genetic algorithm
C. evolutionary algorithm
D. conventional algorithm
Answer» D. conventional algorithm
125.

Fuzzy logic system is based on what type of rule

A. if-then
B. else-if
C. while
D. do-while
Answer» A. if-then
126.

What is the function of dendrites in biological neural network

A. send signals to neurons
B. receive signals from neurons
C. sum of incoming signals
D. transmit signals
Answer» B. receive signals from neurons
127.

Expert system

A. combines different types of method and information
B. is a approach to design of learning algorithms
C. is an information base filled with knowledge of an expert formulated in terms of if-then rules
D. none of the above
Answer» C. is an information base filled with knowledge of an expert formulated in terms of if-then rules
128.

Three main basic feature involved in characterzing member function are

A. intuition,inference,rank ordering
B. fuzzy algorithm,neural network,genetic algorithm
C. center of sums,median,core
D. core,support,boundary
Answer» D. core,support,boundary
129.

What is the function of cell body in biological neural network

A. multiplies the incoming signals
B. sums the incoming signals
C. multiples the outgoing signals
D. sums the outgoing signals
Answer» B. sums the incoming signals
130.

What is perceptron

A. a single layer feed forward neural network
B. a double layer associative neural network
C. a neural network that contains feedback
D. auto associative neural network
Answer» A. a single layer feed forward neural network
131.

Which of the follwing computing is trial and error problem solver algorithm

A. hard computing
B. neural network
C. evolutionary computing
D. fuzzy logic
Answer» C. evolutionary computing
132.

What are advantages of neural network

A. ability to learn by example
B. fault tolerant
C. both a and b
D. none of the above
Answer» C. both a and b
133.

Which of the following does not belong to the process of involuntary computing

A. selection
B. mutation
C. recombination
D. deletion
Answer» D. deletion
134.

The Value of crisp set can be

A. either 0 or 1
B. near to 0 or 1
C. between 0 and 1
D. between 0.5 and 0.7
Answer» A. either 0 or 1
135.

The room temrature is hot. Here the hot(use of lingustic variable is used) can be represented by

A. fuzzy set
B. crisp set
C. probabilistic set
D. none of the above
Answer» A. fuzzy set
136.

The value of set membership can be represented by

A. discrete set
B. degree of truth
C. probabilities
D. both b and c
Answer» B. degree of truth
137.

Semiconductor layout & aircraft design are the application type of which domain?

A. control
B. design
C. robotics
D. ml
Answer» B. design
138.

Trajectory planning is the application type of which domain?

A. control
B. design
C. robotics
D. ml
Answer» C. robotics
139.

Filter design is the application type of which domain?

A. control
B. signal processing
C. robotics
D. ml
Answer» B. signal processing
140.

Pokers & Checkers are the application type of which of domain?

A. control
B. game playing
C. robotics
D. ml
Answer» B. game playing
141.

Manufacturing & resource allocation are the application type of which domain?

A. scheduling
B. design
C. robotics
D. ml
Answer» A. scheduling
142.

What is a crossover point in a fuzzy set?

A. {x|ua(x)<0}
B. {x|ua(x)=1}
C. {x|ua(x)=0.5}
D. {x|ua(x)>0}
Answer» C. {x|ua(x)=0.5}
143.

If A and B are two fuzzy sets with membership function: Ua(X)={0.2,0.5,0.6,0.1,0.9} Ub(X0)={0.1,0.5,0.2,0.7,0.8} THEN what will be the intersection of A and B

A. {0.2,0.5,0.6,0.7,0.9}
B. {0.2,0.3,0.8,0.1,0.5}
C. {0.5,0.1,0.6,0.1,0.8}
D. {0.1,0.5,0.2,0.1,0.8}
Answer» D. {0.1,0.5,0.2,0.1,0.8}
144.

A={0.1/1+0.2/2+0.3/3} B={0.6/1+0.5/2+0.4/3+0.5/4} Find the set difference

A. {0.1/1+0.2/2+0.3/3}
B. {0.3/1+0.2/2+0.2/3}
C. {0.1/1+0.3/2+0.2/3}
D. {0.1/1+0.2/2+0.5/3}
Answer» A. {0.1/1+0.2/2+0.3/3}
145.

With the help of which formula can we find the algebraic sum of two fuzzy sets A,B?

A. {ua(x)+ub(x)}-{ua(x)*ub(x)}
B. {ua(x)-ub(x)}-{ua(x)*ub(x)}
C. {ua(x)/ub(x)}-{ua(x)+ub(x)}
D. {ua(x)+ub(x)}+{ua(x)*ub(x)}
Answer» A. {ua(x)+ub(x)}-{ua(x)*ub(x)}
146.

With the help of which formula can we find the algebraic product of two fuzzy sets A,B?

A. {ua(x)/ub(x)}
B. {ua(x)*ub(x)}*{ua(x)-ub(x)}
C. {ua(x)*ub(x)+{ua(x)+ub(x)}}
D. {ua(x)*ub(x)}
Answer» D. {ua(x)*ub(x)}
147.

Which one of the following is the associative property for a crisp set

A. au(buc)=(aub)uc
B. bu(auc)=cu(bua)
C. au(cua)=b(auc)
D. all the above
Answer» A. au(buc)=(aub)uc
148.

Knowledge base is a combination of

A. rule base and data base
B. rule base and time base
C. time base and probability base
D. model base and data base
Answer» A. rule base and data base
149.

_____ is a simulation method that let decision maker see what the model is doing and how it interact.

A. vis
B. vim
C. siv
D. hiv
Answer» A. vis
150.

____systems,especially those developed for the military and video-game industry

A. vis
B. vim
C. siv
D. hiv
Answer» B. vim

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