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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