Top 80+ Solved Computer Engineering Soft Computing MCQ Questions Answer
Q. 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
Q. 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
Q. 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
Q. 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
Q. What are normally the two best measurement units for an evolutionary algorithm?1. Number of evaluations2. Elapsed time3. CPU Time4. Number of generations
a. 1 and 2
b. 2 and 3
c. 3 and 4
d. 1 and 4
Q. 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
Q. 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
Q. (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
Q. 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
Q. Which of the following operator is simplest selection operator?
a. random selection
b. proportional selection
c. tournament selection
d. none
Q. 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
Q. Which of these emphasize of development of behavioral models?
a. evolutionary programming
b. genetic programming
c. genetic algorithm
d. all the mentioned
Q. EP applies which evolutionary operators?
a. variation through application of mutation operators
b. selection
c. both a and b
d. none of the mentioned
Q. Which selection strategy works with negative fitness value?
a. roulette wheel selection
b. stochastic universal sampling
c. tournament selection
d. rank selection