

McqMate
These multiple-choice questions (MCQs) are designed to enhance your knowledge and understanding in the following areas: Uncategorized topics .
251. |
Which of the following is/are basic component neuron |
A. | dendrites |
B. | axon |
C. | nucleus |
D. | all of the above |
Answer» D. all of the above |
252. |
Which of the following computing technique has the ability of learing and adoption |
A. | neural network |
B. | evolutionary |
C. | hard |
D. | probabilistic |
Answer» A. neural network |
253. |
The truth value of the fuzzy set is |
A. | either 0 or 1 |
B. | between 0.2 to 0.6 |
C. | between 0 and 1 |
D. | greater than 1 |
Answer» C. between 0 and 1 |
254. |
In which stage of the simulation methodology do you determine the variable and gather data |
A. | defining the problem |
B. | constructing the simulation model |
C. | testing and validating the model |
D. | designing the experiment |
Answer» B. constructing the simulation model |
255. |
In which stage of the simulation methodology do you determine how long to run the simulation |
A. | defining the problem |
B. | constructing the simulation model |
C. | testing and validating the model |
D. | designing the experiment |
Answer» D. designing the experiment |
256. |
In which stage of the simulation methodology do you determine the system boundaries and enviroment? |
A. | defining the problem |
B. | constructing the simulation model |
C. | testing and validating the model |
D. | designing the experiment |
Answer» B. constructing the simulation model |
257. |
What BEST describes a simulation model with a limited number of variables ,each with the finite number of values? |
A. | system dynamics simulation |
B. | discrete event simulation |
C. | continous distribution simulation |
D. | monte carlo simulation |
Answer» B. discrete event simulation |
258. |
The advantage of visual interactive simulation include all of the following EXCEPT |
A. | improvement in training using the simulation |
B. | reduced need for the decision maker involvement |
C. | the ability to see how a simulation works |
D. | improved presentation of simulation results |
Answer» B. reduced need for the decision maker involvement |
259. |
What can system dynamics modelling be used for ? |
A. | qualitative method for analyzing a system |
B. | simulation models that test each subsystem in isolation |
C. | micro-level simulation models that examine individual values |
D. | studying system behaviour at an instant in time |
Answer» A. qualitative method for analyzing a system |
260. |
In agent-based modelling ,agents are |
A. | the human workers or agents who use the system |
B. | communication links between simulation |
C. | autonomous rule-based decision making units |
D. | the hardware platform used to conduct the simulation |
Answer» C. autonomous rule-based decision making units |
261. |
Agent based modelling is best for all the following types of problem features EXCEPT |
A. | complex interactions |
B. | low uncertainty |
C. | many inter-related factors |
D. | irregular data |
Answer» B. low uncertainty |
262. |
What is the final stage of an agent based modelling(ABM) methodology? |
A. | identifying the agents and determining their behaviour |
B. | determining agent-related data |
C. | validating agent behaviour against reality |
D. | determining the suitability of abm |
Answer» C. validating agent behaviour against reality |
263. |
Identify the drawbacks of clustering algorithms? 1) can geneerate empty clusters 2) can terminate at local minimum 3)can handle noisy data |
A. | 1,2,3 |
B. | 1,2 |
C. | 3 |
D. | 2,3 |
Answer» B. 1,2 |
264. |
generation of empty cluster problem in clustering can be overcome by? |
A. | aco based clustering |
B. | pso based clustering |
C. | kmeans |
D. | kmode |
Answer» B. pso based clustering |
265. |
where does PSO based clustering terminates? |
A. | global optimum |
B. | local optimum |
C. | global maximum |
D. | local minimum |
Answer» A. global optimum |
266. |
Each particle in PSO modifies its position according to ? 1)its velocity 2)its weight 3) its gbest and pbest |
A. | 2,3 |
B. | 1,2 |
C. | 1,2,3 |
D. | only 1 |
Answer» C. 1,2,3 |
267. |
Applications of ACO are ? 1)shortest path 2)assignment problem 3)set problem |
A. | 2,3 |
B. | 1,2 |
C. | 1,2,3 |
Answer» C. 1,2,3 |
268. |
Evaporation of pharomones is ? |
A. | directly proportional to path length |
B. | inversly proportional to path length |
C. | constant |
D. | none |
Answer» A. directly proportional to path length |
269. |
Metaheuristics doesnot include ? |
A. | evolutinary algorithms |
B. | tabu searching |
C. | simulated annealing |
D. | none |
Answer» D. none |
270. |
Recombinbation involves __candidates while mutation requires__ candidates, and the result is called___. |
A. | 1,2,offspring |
B. | 2,1,offspring |
C. | 1,2,parent |
D. | 2,1,parent |
Answer» A. 1,2,offspring |
271. |
Identify the correct sequence for evoltionary algorithms ?
|
A. | 1,2,3,4 |
B. | 1,3,2,4 |
C. | 2,1,3,4 |
D. | 2,3,1,4 |
Answer» B. 1,3,2,4 |
272. |
Problems for which there is no efficient method to solve such problems exactly are called? |
A. | complex |
B. | hard |
C. | strong |
D. | none |
Answer» B. hard |
273. |
EV is considered as ? 1)complex 2) adaptive |
A. | 1 |
B. | 2 |
C. | 1,2 |
D. | none |
Answer» C. 1,2 |
274. |
EV system was proposed for exploring a___ fitness space and can form__. |
A. | multipeaked,clusters |
B. | single peaked,clusters |
C. | multipeaked,hard problems |
D. | single peaked,hard problems |
Answer» A. multipeaked,clusters |
275. |
Empirical studies focused on a variety of issues, like ? 1) initialization strategies 2) probability of mutation 3)recombination operator |
A. | 1,2 |
B. | 1,2,3 |
C. | 2,3 |
D. | 1,3 |
Answer» B. 1,2,3 |
276. |
Parameters that affect GA are ? 1)intial population 2)fitness function 3)ability to generate offspring |
A. | 1,3 |
B. | 1,2 |
C. | 1,2,3 |
D. | only 1 |
Answer» B. 1,2 |
277. |
___focuses attention on high fitness individuals, thus exploiting the available fitness information. |
A. | clustering |
B. | offspring production |
C. | replace |
D. | selection |
Answer» D. selection |
278. |
Identify the algorithm ?procedure EA
|
A. | aco |
B. | pso |
C. | ea |
D. | kmean |
Answer» C. ea |
279. |
Genetic algorithm are heuristic methods that do not guarantee an optimal solution to a problem |
A. | true |
B. | false |
Answer» A. true |
280. |
A "What-if" model is most typically used for the most structured problems |
A. | true |
B. | false |
Answer» B. false |
281. |
Evolution strategies uses ? 1)selection 2)recombination 3)real valued vector |
A. | 1,2,3 |
B. | 2,3 |
C. | 1,3 |
D. | only 2 |
Answer» A. 1,2,3 |
282. |
which of the following statements are true regarding ES ?
|
A. | only 1 |
B. | 1,2 |
C. | only 2 |
D. | 1,2,3 |
Answer» D. 1,2,3 |
283. |
Evolutionary Algorithms includes ? 1) tabu search 2)simulated annealing 3)ES 4)genetic algorithms |
A. | 1,2,3,4 |
B. | 2,3 |
C. | 3,4 |
D. | 2,3,4 |
Answer» C. 3,4 |
284. |
Which of the following statements are true ?
|
A. | only 1 |
B. | only 2 |
C. | both |
D. | none of these |
Answer» D. none of these |
285. |
The ___ is performed by selecting two sub trees
|
A. | gp crossover |
B. | gp mutation |
C. | gp clustering |
D. | gp recombination |
Answer» A. gp crossover |
286. |
The____ is performed by selecting a sub tree of the descendant by chance and to exchange the sub tree with an arbitrary generated new sub tree. |
A. | gp crossover |
B. | gp mutation |
C. | gp clustering |
D. | gp recombination |
Answer» B. gp mutation |
287. |
___ are able to learn simple “if {condition} then {action}” style rules23 by learning from feedback |
A. | es |
B. | ea |
C. | lcs |
D. | heuristics |
Answer» C. lcs |
288. |
Island model is related with ? |
A. | distributed evolutionary algorithms |
B. | lcs |
C. | swarm intelligence |
D. | aco |
Answer» A. distributed evolutionary algorithms |
289. |
payoffs can be easily translated to a ___ function for an EA. |
A. | survival |
B. | reduction |
C. | comination |
D. | fitness |
Answer» D. fitness |
290. |
Identify the correct statements with respect to genetic algorithms? 1)A fitness function should maximized. 2)A replacement procedure. 3)A string representation of chromosomes. |
A. | 1,2 |
B. | 2,3 |
C. | 1,2,3 |
D. | 1,3 |
Answer» B. 2,3 |
291. |
ANN is composed of large number of highly interconnected processing elements(neurons) working in unison to solve problems |
A. | TRUE |
B. | FALSE |
Answer» A. TRUE |
292. |
Both fuzzy logic and artificial neural network are soft computing techniques because |
A. | Both gives precise and accurate results. |
B. | Artificial neural network gives accurate result, but fuzzy logic does not. |
C. | In each, no precise mathematical model of the problem is required |
D. | Fuzzy gives exact result but artificial neural network does not. |
Answer» C. In each, no precise mathematical model of the problem is required |
293. |
Both fuzzy logic and artificial neural network are soft computing techniques because, |
A. | Both gives precise and accurate results. |
B. | Artificial neural network gives accurate result but fuzzy logic does not. |
C. | In each, no precise mathematical model of the problem is required. |
D. | Fuzzy gives exact result but artificial neural network does not. |
Answer» C. In each, no precise mathematical model of the problem is required. |
294. |
In which of the following, one technology calls the other technology as subroutine to process or manipulate information needed |
A. | Embedded hybrid system |
B. | Sequential hybrid system |
C. | Auxiliary hybrid system |
D. | Parallel hybrid system |
Answer» C. Auxiliary hybrid system |
295. |
Why are linearly separable problems of interest to neural network researchers? |
A. | Because they are the only class of problems that a network can solve sucessfully |
B. | Because they are the only mathematical functions that are continuous |
C. | Because they are the only mathematical functions you can draw |
D. | Because they are the only class of problems a perceptron can solve successfully |
Answer» B. Because they are the only mathematical functions that are continuous |
296. |
Fuzzy logic is usually represented as- |
A. | IF-THEN-ELSE rules |
B. | IF-THEN rules |
C. | Both a & b |
D. | None of the mentioned |
Answer» B. IF-THEN rules |
297. |
A fuzzy set A is closed if: |
A. | lim x → −∞μ (x) = 1 and lim x → +∞ (x) = |
B. | lim x → −∞μ (x) = lim x → +∞ (x) = 0 |
C. | lim x → −∞μ (x) = 0 and lim x → +∞ (x) = 1 |
D. | lim x → −∞μ (x) = lim x → +∞ (x) = 1 |
Answer» B. lim x → −∞μ (x) = lim x → +∞ (x) = 0 |
298. |
The height h(A) of a fuzzy set A is defined as h(A) =sup A(x) where x belongs to A. Then the fuzzy set A is called normal when |
A. | h(A)=0 |
B. | h(A)<0 |
C. | h(A)=1 |
D. | h(A)>1 |
Answer» C. h(A)=1 |
299. |
For k>1, which of the following concept can be used to generate other linguistic hedge |
A. | Concentration and Dilation |
B. | Dilation |
C. | Concentration |
D. | None of the above |
Answer» C. Concentration |
300. |
A fuzzy set whose membership function has at least one element x in the universe whose membership value is unity is called |
A. | sub normal fuzzy sets |
B. | normal fuzzy set |
C. | convex fuzzy set |
D. | concave fuzzy set |
Answer» B. normal fuzzy set |
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