Computer Engineering Soft Computing Set 3
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This set of Computer Engineering Soft Computing Multiple Choice Questions & Answers (MCQs) focuses on Computer Engineering Soft Computing Set 3
Q1 | Evolution Strategies is developed with
- selection
- mutation
- a population of size
- all of these
Q2 | Evolution Strategies typically uses
- real-valued vector re
- vector representa
- time based represe
- none of these
Q3 | in ES survival is
- indeterministic
- deterministic
- both a and b
- none of these
Q4 | What is the first step in Evolutionary algorithm
- termination
- selection
- recombination
- initialization
Q5 | Elements of ES are/is
- parent population siz
- survival populatio
- both a and b
- none of these
Q6 | What are different types of crossover
- discrete and interme
- discrete and conti
- continuous and inte
- none of these
Q7 | Determining the duration of the simulation occurs before the model is validated and te
- true
- false
Q8 | cannot easily be transferred from one problem domain to another
- optimal solution
- analytical solution
- simulation solutuon
- none of these
Q9 | Discrete events and agent-based models are usuallly used for .
- middle or low level o
- high level of abstr
- very high level of ab
- none of these
Q10 | doesnot usually allow decision makers to see how a solution to a en
- simulation ,complex
- simulation,easy p
- genetics,complex p
- genetics,easy problem
Q11 | EC stands for?
- evolutionary comput
- evolutionary com
- electronic computa
- noneof these
Q12 | GA stands for
- genetic algorithm
- genetic asssuranc
- genese alforithm
- noneof these
Q13 | LCS stands for
- learning classes syste
- learning classifier
- learned class syste
- mnoneof these
Q14 | GBML stands for
- genese based machi
- genes based mob
- genetic bsed machi
- noneof these
Q15 | EV is dominantly used for solving .
- optimization proble
- mnp problem
- simple problems
- noneof these
Q16 | EV is considered as?
- adaptive
- complex
- both a and b
- noneof these
Q17 | Parameters that affect GA
- initial population
- selection process
- fitness function
- all of these
Q18 | Fitness function should be
- maximum
- minimum
- intermediate
- noneof these
Q19 | Applying recombination and mutation leads to a set of new candidates, called as ?
- sub parents
- parents
- offsprings
- grand child
Q20 | decides who becomes parents and how many children the parents have.
- parent combination
- parent selection
- parent mutation
- parent replace
Q21 | Basic elements of EA are ?
- parent selection methods
- survival selection methods
- both a and b
- noneof these
Q22 | There are also other operators, more linguistic in nature, called that can be applied to fuzzy set theory.
- hedges
- lingual variable
- fuzz variable
- none of the mentioned
Q23 | A fuzzy set has a membership function whose membership values are strictly monotonically increasing or strictly monotonically decreasing or strictly monotonically increasing than strictly monotonically decreasing with increasing values for elements in the universe
- convex fuzzy set
- concave fuzzy set
- non concave fuzzy set
- non convex fuzzy set
Q24 | Which of the following neural networks uses supervised learning?(A) Multilayer perceptron(B) Self organizing feature map(C) Hopfield network
- (a) only
- (b) only
- (a) and (b) only
- (a) and (c) only
Q25 | What is the feature of ANNs due to which they can deal with noisy, fuzzy, inconsistent data?
- associative nature of networks
- distributive nature of networks
- both associative & distributive
- none of the mentioned