MCQOPTIONS
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MCQOPTIONS
This section includes 213 Mcqs, each offering curated multiple-choice questions to sharpen your Uncategorized topics knowledge and support exam preparation. Choose a topic below to get started.
| 151. |
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» C. gp clustering | |
| 152. |
What Is The Input And Output Of Step 3 - Apply Implication Method? |
| A. | input is a fuzzy set but the output is a whole value |
| B. | input is a fuzzy set but the output is a whole value |
| C. | input and output have the same value |
| D. | input is a smaller value than the output value |
| Answer» C. input and output have the same value | |
| 153. |
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» C. continous distribution simulation | |
| 154. |
EP mutation is |
| A. | data specific |
| B. | data type specific |
| C. | non specific |
| D. | none of these |
| Answer» C. non specific | |
| 155. |
Which mutation operator is used in ES as reproduction operator? |
| A. | one point |
| B. | gaussian mutation |
| C. | two point |
| D. | adaptive |
| Answer» C. two point | |
| 156. |
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» D. greater than 1 | |
| 157. |
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» B. 2,3 | |
| 158. |
LCS belongs to ___ based methods? |
| A. | rule based learning |
| B. | genetic learning |
| C. | both a and b |
| D. | noneof these |
| Answer» B. genetic learning | |
| 159. |
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» E. | |
| 160. |
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» C. testing and validating the model | |
| 161. |
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» C. testing and validating the model | |
| 162. |
Tournament selection scheme is more preferable when |
| A. | when fitness values are uniformly distributed |
| B. | population are with very diversified fitness values |
| C. | when fitness values are not necessarily uniformly distributed |
| D. | under all the above situations |
| Answer» C. when fitness values are not necessarily uniformly distributed | |
| 163. |
___ are able to learn simple if {condition} then {action} style rules23 by learning from feedback |
| A. | es |
| B. | ea |
| C. | lcs |
| D. | heuristics |
| Answer» D. heuristics | |
| 164. |
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» C. 2,3 | |
| 165. |
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» B. 2,1,offspring | |
| 166. |
mutation is applied on __candidates. |
| A. | one |
| B. | two |
| C. | more than two |
| D. | noneof these |
| Answer» B. two | |
| 167. |
Identfication of Input, Output and state variables is performed in which step of FLC? |
| A. | fuzzy configuration |
| B. | defuzzification |
| C. | combining fuzzy outputs |
| D. | identification of variables |
| Answer» E. | |
| 168. |
Assigning linguistic label to each subset is done in which step of FLC? |
| A. | fuzzy configuration |
| B. | defuzzification |
| C. | combining fuzzy outputs |
| D. | fuzzy subset configuration |
| Answer» E. | |
| 169. |
Sugeno systems are |
| A. | miso systems |
| B. | mimo systems |
| C. | only miso systems |
| D. | both a and b |
| Answer» C. only miso systems | |
| 170. |
recombination is applied on __candidates. |
| A. | one |
| B. | two |
| C. | more than two |
| D. | noneof these |
| Answer» C. more than two | |
| 171. |
Which of the following are evolutionary operators? |
| A. | selection |
| B. | crossover |
| C. | mutation |
| D. | all of the above |
| Answer» E. | |
| 172. |
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» D. determining the suitability of abm | |
| 173. |
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» D. the hardware platform used to conduct the simulation | |
| 174. |
GP selection is |
| A. | deterministic selection |
| B. | tournament selection |
| C. | nondeterministic selection |
| D. | none of these |
| Answer» C. nondeterministic selection | |
| 175. |
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» D. Fuzzy gives exact result but artificial neural network does not. | |
| 176. |
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» B. simulation models that test each subsystem in isolation | |
| 177. |
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» D. fuzzy logic gives accurate result but ann doesnot | |
| 178. |
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» D. none of the above | |
| 179. |
Applications of ACO are ? 1)shortest path 2)assignment problem 3)set problem |
| A. | 2,3 |
| B. | 1,2 |
| C. | 1,2,3 |
| Answer» D. | |
| 180. |
Which of the following comparison is true? |
| A. | In the event of restricted accessto information, GAs win out in that they require much |
| B. | Under any circumstances, GAs always outperform other algorithms. |
| C. | The qualities of solutions offered by GAs for any problems are always better than |
| D. | GAs could be applied to any problem, whereas certain algorithms are applicable to |
| Answer» B. Under any circumstances, GAs always outperform other algorithms. | |
| 181. |
Mamdani systems are |
| A. | miso systems |
| B. | mimo systems |
| C. | only miso systems |
| D. | both a and b |
| Answer» E. | |
| 182. |
Takugi-Sugeno approach to FLC design is computationally more expensive compared to Mamdani approach because |
| A. | Mamdani approach considers a less number of rules in fuzzy rule base |
| B. | Searching a rule in Mamdani approach is simple and hence less time consuming |
| C. | Takagi-Sugeno approach consider a large number of rules in fuzzy rule base |
| D. | Computation of each rule in Takagi-Sugeno approach is more time consuming |
| Answer» E. | |
| 183. |
Which of the following schemes are selection schemes in Evolutionary computation? |
| A. | hall of fame |
| B. | rank based selection |
| C. | tournament selection |
| D. | all of the above |
| Answer» E. | |
| 184. |
What are normally the two best measurement units for an evolutionary algorithm? 1. Number of evaluations 2. Elapsed time 3. CPU Time 4. Number of generations |
| A. | 1 and 2 |
| B. | 2 and 3 |
| C. | 3 and 4 |
| D. | 1 and 4 |
| Answer» E. | |
| 185. |
Which of the following is not a characterstic of evolutionary algorithm? |
| A. | conceptual simplicity |
| B. | parallelism |
| C. | broad applicability |
| D. | artificial selection |
| Answer» E. | |
| 186. |
High selection pressure is desirable, when we need |
| A. | diversity not found in each generation |
| B. | there is no improvement in successive ga iteration |
| C. | faster termination of ga |
| D. | fitness values are not uniformly distributed |
| Answer» D. fitness values are not uniformly distributed | |
| 187. |
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» B. single peaked,clusters | |
| 188. |
In which selection strategy every individual has the same probability to be selected? |
| A. | roulette wheel selection |
| B. | uniform selection |
| C. | tournament selection |
| D. | rank selection |
| Answer» C. tournament selection | |
| 189. |
In artificial Neural Network interconnected processing elements are called |
| A. | nodes or neurons |
| B. | weights |
| C. | axons |
| D. | soma |
| Answer» B. weights | |
| 190. |
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» C. many inter-related factors | |
| 191. |
Which of the following statements are true ? 1)mutation is applied to two selected candidates, the so-called parents, and results in one or two new candidates, the children 2) recombination is applied to one candidate and results in one new candidate. |
| A. | only 1 |
| B. | only 2 |
| C. | both |
| D. | none of these |
| Answer» E. | |
| 192. |
Mamdani-style inference involves which steps |
| A. | fuzzification of the input variables & rule evaluation |
| B. | aggregation of the rule output & defuzzification |
| C. | both a and b |
| D. | either a or b |
| Answer» D. either a or b | |
| 193. |
Which of the following is not true regarding the principles of fuzzy logic ? |
| A. | Fuzzy logic follows the principle of Aristotle and |
| B. | Japan is currently the most active users of fuzzy logic |
| C. | Fuzzy logic is a concept of 'certain degree' |
| D. | Boolean logic is a subset of fuzzy logic |
| Answer» B. Japan is currently the most active users of fuzzy logic | |
| 194. |
If A and B are two fuzzy sets with membership functions A(x) = {0.6, 0.5, 0.1, 0.7, 0.8} B(x) = {0.9, 0.2, 0.6, 0.8, 0.5} Then the value of (A B) (x) will be |
| A. | {0.9, 0.5, 0.6, 0.8, 0.8 |
| B. | {0.6, 0.2, 0.1, 0.7, |
| C. | {0.1, 0.5, 0.4, 0.2, 0. |
| D. | {0.1, 0.5, 0.4, 0.2, 0.3} |
| Answer» D. {0.1, 0.5, 0.4, 0.2, 0.3} | |
| 195. |
What is the correct order of steps in evolutionary algorithm? |
| A. | select parents-recombine-mutate-evaluate |
| B. | select parents-recombine-evaluate-mutate- |
| C. | select parents-mutate - recombine-evaluate |
| D. | select parents-evaluate -recombine-mutate |
| Answer» B. select parents-recombine-evaluate-mutate- | |
| 196. |
Fitness scaling is desirable to ensure |
| A. | population diversity |
| B. | selection pressure |
| C. | that better solutions are selected only |
| D. | relatively inferior solutions are not ignored |
| Answer» B. selection pressure | |
| 197. |
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» C. Because they are the only mathematical functions you can draw | |
| 198. |
The height h(A) of a fuzzy set A is defined ash(A) = sup A(x) |
| A. | h(a) = 0 |
| B. | h(a) <0 |
| C. | h(a)=1 |
| D. | h(a)<1 |
| Answer» D. h(a)<1 | |
| 199. |
Consider a fuzzy set A defined on the interval X = [0, 10] of integers by the membership Junction A(x) = x / (x+2) Then the cut corresponding to = 0.5 will be |
| A. | {0, 1, 2, 3, 4, 5, 6, 7, 8 |
| B. | {1, 2, 3, 4, 5, 6, 7, |
| C. | {2, 3, 4, 5, 6, 7, 8, 9, |
| D. | None of the above |
| Answer» D. None of the above | |
| 200. |
Suppose, a fuzzy set Young is defined as follows Young = (10, 0.5), (20, 0.8), (30, 0.8), (40, 0.5), (50, 0.3) Then the crisp value of Young using MoM method is |
| A. | 20 |
| B. | 25 |
| C. | 30 |
| D. | 35 |
| Answer» C. 30 | |