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 .

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151.	Which approach is most suited to complex problem with significant uncertainty, a need for experimentation, and time compression?
A.	simulation
B.	optimization
C.	human intution
D.	genetic algorithm
Answer» A. simulation

discuss

152.	Which of the following is the advantage of simulation?
A.	it can incorporate significant real-life complexity
B.	it always result in optimal solution
C.	simulation software requires special skils
D.	it solves problem in one pass with no iteration.
Answer» A. it can incorporate significant real-life complexity

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153.	What BEST describes a simulation model in which it is not important to know exactly when a modeled event occurred
A.	continuous distribution simulation
B.	time dependent simulation
C.	system dynamics simulation
D.	discrete event simulation
Answer» B. time dependent simulation

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154.	The defining length of a schema is useful to calculate ______of the schema for__________.
A.	survival probability,crossovers
B.	crossovers,survival probability
C.	crossovers,length
D.	length,crossover
Answer» A. survival probability,crossovers

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155.	categories of EA are/is
A.	genetic algorithm
B.	genetic programing
C.	learning classifier systems
D.	all of these
Answer» D. all of these

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156.	Phases in which the LCS individuals are evaluated are
A.	performance phase
B.	reinforcement phase
C.	both a and b
D.	none of these
Answer» C. both a and b

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157.	MA sometimes called as
A.	hybrid ea
B.	integrated ea
C.	both a and b
D.	none of these
Answer» A. hybrid ea

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158.	Genetic algorithm is a subset of_______.
A.	evolutionary algorithm
B.	dynamcic algorithm
C.	both a&b
D.	none of these
Answer» A. evolutionary algorithm

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159.	NP hard problems are also called as________.
A.	dicrete optimization
B.	combinatorial optimization
C.	evolutionary optimization
D.	none of these
Answer» B. combinatorial optimization

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160.	Genetic algorithm is first introduce by_______.
A.	charles darwin
B.	john holland
C.	gregor johan mendel
D.	none of these
Answer» B. john holland

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161.	__________ replicates the most successful solutions found in a population at a rate proportional to relative quality.
A.	selection
B.	recombination
C.	mutation
D.	none of these
Answer» A. selection

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162.	_________ decomposes two distinct solutions and then randomly mixes their parts to form novel solutions.
A.	selection
B.	recombination
C.	mutation
D.	none of these
Answer» B. recombination

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163.	__________ randomly perturbs a candidate solution.
A.	selection
B.	recombination
C.	mutation
D.	none of these
Answer» C. mutation

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164.	A ________ is a template consisting of a string composed of three symbol.
A.	wild symbol
B.	schema
C.	layout
D.	none of these
Answer» B. schema

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165.	{0,1,#} is the symbol alphabet ,where # is a special ______symbol.
A.	wild card
B.	schema
C.	layout
D.	none of these
Answer» A. wild card

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166.	Metaheuristics are ? 1)non deterministic 2)non approximate 3)not problem specific
A.	1,2,3
B.	1,2
C.	1,3
D.	2,3
Answer» C. 1,3

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167.	In search techniques, as single point based contradicts population based similary deterministic contradicts ___?
A.	stochastic
B.	simplex based
C.	complex based
D.	none
Answer» A. stochastic

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168.	In swarm systems organisations are
A.	centalized
B.	decentralized
C.	controlled by third party
D.	none
Answer» B. decentralized

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169.	Identify the working sequence of kmean clustering ? 1)redefine cluster centeroids 2)intialize the k centroids 3)make clusters near centroids
A.	1,3,2
B.	3,2,1
C.	2,3,1
D.	2,1,3
Answer» C. 2,3,1

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170.	Every particle in the system takes experience from previous particle ?
A.	pso
B.	aco
C.	clustering
D.	none
Answer» A. pso

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171.	swarm intelligence includes ? 1)bee colony algorithm 2)ant colony algorithm 3) PSO 4)immune system algorithms
A.	1,2
B.	1,2,3
C.	2,3,4
D.	all of these
Answer» D. all of these

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172.	pheromone quantity in ACO is ___ proportional to path selection.
A.	directly
B.	inversly
C.	there is no connection
D.	none
Answer» A. directly

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173.	The ants prefer the smaller drop of honey over the more abundant, but less nutritious, sugar. This is the example of?
A.	kruskal algorithm
B.	travelling salesman
C.	knapsack problem
D.	np hard problem
Answer» C. knapsack problem

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174.	In kmeans clustering each cluster is associated with
A.	centroid
B.	edge
C.	common point
D.	none of them
Answer» A. centroid

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175.	What is EC?
A.	computer based problem solving systems
B.	systems that uses computational models of evolutionary process
C.	both a and b
D.	none of these
Answer» C. both a and b

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176.	Recombination is applied to
A.	2 selected candidated
B.	1 selected candidate
C.	3 selected candidate
D.	none of these
Answer» A. 2 selected candidated

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177.	In EA mutation is applied to
A.	2 candidate
B.	1 candidate
C.	3 candidate
D.	none of these
Answer» B. 1 candidate

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178.	EV is used for
A.	solving optimization problems
B.	finding solutions
C.	both a and b
D.	none of these
Answer» A. solving optimization problems

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179.	EV is considered as
A.	complex
B.	simple
C.	complex and adaptive
D.	al of these
Answer» C. complex and adaptive

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180.	GA stands for
A.	genetic algorithm
B.	genetic programing
C.	genetic assurance
D.	none of these
Answer» A. genetic algorithm

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181.	Features of GA
A.	a string representation of chromosomes.
B.	a fitness function be to minimized.
C.	a cross-over method and a mutation method.
D.	all of these
Answer» D. all of these

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182.	GP individual stores computer program
A.	true
B.	false
Answer» A. true

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183.	GP selection is
A.	deterministic selection
B.	tournament selection
C.	nondeterministic selection
D.	none of these
Answer» B. tournament selection

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184.	EP mutation is
A.	data specific
B.	data type specific
C.	non specific
D.	none of these
Answer» B. data type specific

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185.	The truth values of traditional set theory is ____________ and that of fuzzy set is __________
A.	either 0 or 1, between 0 & 1
B.	between 0 & 1, either 0 or 1
C.	between 0 & 1, between 0 & 1
D.	either 0 or 1, either 0 or 1
Answer» A. either 0 or 1, between 0 & 1

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186.	The room temperature is hot. Here the hot (use of linguistic variable is used) can be represented by _______
A.	fuzzy set
B.	crisp set
C.	fuzzy & crisp set
D.	fuzzy & crisp set
Answer» A. fuzzy set

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187.	Fuzzy logic is usually represented as ___________
A.	if-then-else rules
B.	if-then rules
C.	both if-then-else rules & if-then rules
D.	none of the mentioned
Answer» B. if-then rules

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188.	Three main basic features involved in characterizing membership function are
A.	intution, inference, rank ordering
B.	fuzzy algorithm, neural network, genetic algorithm
C.	core, support , boundary
D.	weighted average, center of sums, median
Answer» C. core, support , boundary

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189.	Why can’t we design a perfect neural network?
A.	full operation is still not known of biological neurons
B.	number of neuron is itself not precisely known
C.	number of interconnection is very large & is very complex
D.	all of the mentioned
Answer» D. all of the mentioned

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190.	Both Fuzzy logic and ANN are soft computing techniques because
A.	both gives precise and accurate results
B.	ann gives accurate result but fuzzy logic doesnot
C.	in each, no precise mathematical model of the problem is required
D.	fuzzy logic gives accurate result but ann doesnot
Answer» C. in each, no precise mathematical model of the problem is required

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191.	Internal state of neuron is called __________, is the function of the inputs the neurons receives
A.	weight
B.	activation or activity level of neuron
C.	bias
D.	none of these
Answer» B. activation or activity level of neuron

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192.	Each connection link in ANN is associated with ________ which has information about the input signal.
A.	neurons
B.	weights
C.	bias
D.	activation function
Answer» B. weights

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193.	In artificial Neural Network interconnected processing elements are called
A.	nodes or neurons
B.	weights
C.	axons
D.	soma
Answer» A. nodes or neurons

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194.	The crossover points of a membership function are defined as the elements in the universe for which a particular fuzzy set has values equal to
A.	infinite
B.	1
C.	0
D.	0.5
Answer» D. 0.5

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195.	The membership values of the membership function are nor strictly monotonically increasing or decreasing or strictly monoronically increasing than decreasing
A.	convex fuzzy set
B.	non convex fuzzy set
C.	normal fuzzy set
D.	sub normal fuzzy set
Answer» B. non convex fuzzy set

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196.	The cell body of neuron can be analogous to what mathamatical operation?
A.	summing
B.	differentiator
C.	integrator
D.	none of the mentioned
Answer» A. summing

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197.	Conventional Artificial Intelligence is different from soft computing in the sense
A.	conventional artificial intelligence deal with prdicate logic where as soft computing deal with fuzzy logic
B.	conventional artificial intelligence methods are limited by symbols where as soft computing is based on empirical data
C.	both (a) and (b)
D.	none of the above
Answer» C. both (a) and (b)

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198.	______________ is/are the way/s to represent uncertainty.
A.	fuzzy logic
B.	probability
C.	entropy
D.	all of the mentioned
Answer» D. all of the mentioned

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199.	Given two fuzzy sets A and B A={(x1,0.5),(x2,0.1),(x3,0.4)} and B={(x1,0.2),(x2,0.3),(x3,0.5)} then union of 2 sets A U B is
A.	{(x1,0.5),(x2,0.1),(x3,0.4)}
B.	{(x1,0.5),(x2,0.3),(x3,0.5)}
C.	{(x1,0.2),(x2,0.3),(x3,0.5)}
D.	{(x1,0.2),(x2,0.1),(x3,0.4)}
Answer» B. {(x1,0.5),(x2,0.3),(x3,0.5)}

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200.	If A and B are two fuzzy sets with membership functions: μa(χ) ={0.2,0.5.,0.6,0.1,0.9} μb (χ)= {0.1,0.5,0.2,0.7,0.8} then the value of μa ∩ μb will be
A.	{0.2,0.5,0.6,0.7,0.9}
B.	{0.2, 0.5,0.2, 0.1,0.8}
C.	{0.1, 0.5, 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}

discuss

390+ Soft Computing and Optimization Algorithms Solved MCQs

Which approach is most suited to complex problem with significant uncertainty, a need for experimentation, and time compression?

Which of the following is the advantage of simulation?

What BEST describes a simulation model in which it is not important to know exactly when a modeled event occurred

The defining length of a schema is useful to calculate ______of the schema for__________.

categories of EA are/is

Phases in which the LCS individuals are evaluated are

MA sometimes called as

Genetic algorithm is a subset of_______.

NP hard problems are also called as________.

Genetic algorithm is first introduce by_______.

__________ replicates the most successful solutions found in a population at a rate proportional to relative quality.

_________ decomposes two distinct solutions and then randomly mixes their parts to form novel solutions.

__________ randomly perturbs a candidate solution.

A ________ is a template consisting of a string composed of three symbol.

{0,1,#} is the symbol alphabet ,where # is a special ______symbol.

Metaheuristics are ? 1)non deterministic 2)non approximate 3)not problem specific

In search techniques, as single point based contradicts population based similary deterministic contradicts ___?

In swarm systems organisations are

Identify the working sequence of kmean clustering ? 1)redefine cluster centeroids 2)intialize the k centroids 3)make clusters near centroids

Every particle in the system takes experience from previous particle ?

swarm intelligence includes ? 1)bee colony algorithm 2)ant colony algorithm 3) PSO 4)immune system algorithms

pheromone quantity in ACO is ___ proportional to path selection.

The ants prefer the smaller drop of honey over the more abundant, but less nutritious, sugar. This is the example of?

In kmeans clustering each cluster is associated with

What is EC?

Recombination is applied to

In EA mutation is applied to

EV is used for

EV is considered as

GA stands for

Features of GA

GP individual stores computer program

GP selection is

EP mutation is

The truth values of traditional set theory is ____________ and that of fuzzy set is __________

The room temperature is hot. Here the hot (use of linguistic variable is used) can be represented by _______

Fuzzy logic is usually represented as ___________

Three main basic features involved in characterizing membership function are

Why can’t we design a perfect neural network?

Both Fuzzy logic and ANN are soft computing techniques because

Internal state of neuron is called __________, is the function of the inputs the neurons receives

Each connection link in ANN is associated with ________ which has information about the input signal.

In artificial Neural Network interconnected processing elements are called

The crossover points of a membership function are defined as the elements in the universe for which a particular fuzzy set has values equal to

The membership values of the membership function are nor strictly monotonically increasing or decreasing or strictly monoronically increasing than decreasing

The cell body of neuron can be analogous to what mathamatical operation?

Conventional Artificial Intelligence is different from soft computing in the sense

______________ is/are the way/s to represent uncertainty.

Given two fuzzy sets A and B A={(x1,0.5),(x2,0.1),(x3,0.4)} and B={(x1,0.2),(x2,0.3),(x3,0.5)} then union of 2 sets A U B is

If A and B are two fuzzy sets with membership functions: μa(χ) ={0.2,0.5.,0.6,0.1,0.9} μb (χ)= {0.1,0.5,0.2,0.7,0.8} then the value of μa ∩ μb will be

The defining length of a schema is useful to calculate of the schema for____.

Metaheuristics are ?
1)non deterministic
2)non approximate
3)not problem specific

The truth values of traditional set theory is __ and that of fuzzy set is

Given two fuzzy sets A and B
A={(x1,0.5),(x2,0.1),(x3,0.4)} and B={(x1,0.2),(x2,0.3),(x3,0.5)}
then union of 2 sets A U B is

If A and B are two fuzzy sets with membership functions:

μa(χ) ={0.2,0.5.,0.6,0.1,0.9}

μb (χ)= {0.1,0.5,0.2,0.7,0.8}

then the value of μa ∩ μb will be