Practice Soft Computing Multiple Choice Questions with Answers Quiz-1

Q.1.

Selection strategy works with negative fitness value?

roulette wheel selection
stochastic universal sampling
tournament selection
rank selection

Q.2.

Applies which evolutionary operators?

variation through application of mutation operators
selection
both a and b
none of the mentioned

Q.3.

Of these emphasize of development of behavioral models?

evolutionary programming
genetic programming
genetic algorithm
all the mentioned

Q.4.

Crossover operators are used in evolutionary programming?

single point crossover
two point crossover
uniform crossover
evolutionary programming doesnot use crossover operators

Q.5.

Of the following operator is simplest selection operator?

random selection
proportional selection
tournament selection
none

Q.6.

Condition for EA

mazimally allowed cpu time is elapsed
total number of fitness evaluations reaches a given limit
population diveristy drops under a given threshold
all the mentioned

Q.7.

ES

offspring becomes parent if offspring\s fitness is as good as parent of next generation
offspring become parent by default
offspring never becomes parent
none of the mentioned

Q.8.

Evolutionary Strategy,

individuals are represented by real- valued vector
individual solution is represented as a finite state machine
individuals are represented as binary string
none of the mentioned

Q.9.

Evolutionary programming,

individuals are represented by real- valued vector
individual solution is represented as a finite state machine
individuals are represented as binary string
none of the mentioned

Q.10.

Strategies (ES)

(µ,λ): select survivors among parents and offspring
(µ+λ): select survivors among parents and offspring
(µ-λ): select survivors among offspring only
(µ:λ): select survivors among offspring only

Q.11.

Are normally the two best measurement units for an evolutionary algorithm?Number of evaluationsElapsed timeCPU TimeNumber of generations

1 and 2
2 and 3
3 and 4
1 and 4

Q.12.

Size in self-adaptive EP :

deviation in step sizes remain static
deviation in step sizes change over time using some deterministic function
deviation in step size change dynamically
size=1

Q.13.

Size in dynamic EP :

deviation in step sizes remain static
deviation in step sizes change over time using some deterministic function
deviation in step size change dynamically
size=1

Q.14.

Size in non-adaptive EP :

deviation in step sizes remain static
deviation in step sizes change over time using some deterministic function
deviation in step size change dynamically
size=1

Q.15.

Evolutionary strategy, recombination is

doesnot use recombination to produce offspring. it only uses mutation
uses recombination such as cross over to produce offspring
uses various recombination operators
none of the mentioned

Q.16.

Evolutionary programming, recombination is

doesnot use recombination to produce offspring. it only uses mutation
uses recombination such as cross over to produce offspring
uses various recombination operators
none of the mentioned

Q.17.

Evolutionary strategy, survival selection is

probabilistic selection (μ+μ) selection
(μ, λ)- selection based on the children only (μ+λ)- selection based on both the set of parent and children
children replace the parent
all the mentioned

Q.18.

Evolutionary programming, survival selection is

probabilistic selection (μ+μ) selection
(μ, λ)- selection based on the children only (μ+λ)- selection based on both the set of parent and children
children replace the parent
all the mentioned

Q.19.

Is Another Name For Fuzzy Inference Systems?

fuzzy expert system
fuzzy modelling
fuzzy logic controller
all of the above

Q.20.

Are The Two Types Of Fuzzy Inference Systems?

model-type and system-type
momfred-type and semigi-type
mamdani-type and sugeno-type
mihni-type and sujgani-type

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