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Q. What basic concepts of evolution are used by the genetic algorithm?
ANSWER: The three concepts are selection, crossover and mutation. Selection is the feature of a genetic algorithm that provides preference to better outcomes. Mutation is a feature of a genetic algorithm; it's the process of trying combinations and computing the success (or failure) of the outcome. Crossover is the feature of a genetic algorithm where portions of good outcomes are taken in the hope of creating an even better outcome.
Q. Decoding of slightly encoded micro-instructions? Generally micro-programmed control unit designs are neither totally unencoded nor highly encoded. They are slightly coded. T
Aggregation Aggregation is a special form of association that models the "part-whole" or "a-part-of" relationship as an aggregate (the whole) and parts. The most important pro
The conversation speed of an analog to digital converter is maximum with which technique? Ans. With parallel comparator AD converter technique the conversation speed of an ana
What are the types of security features employed in client server kinds of network? Security features employed in Client-Server types of network are as illustrated below: a)
State the structure of Verilog code you follow? A good template for your Verilog file is shown below. // timescale directive tells the simulator the base units and precision
As we know how packets travel from one computer to another over the Internet. However what's in-between? Actually what makes up the Internet infrastructure or backbone? Fi
Illustrate the benefits of Functional model Functional model shows how values are computed. This model describes decisions or object structure without regard for sequencing. I
I want to know basic about it
For a non blocking crossbar configuration, taking N as the number of subscribers, there will be number of cross points and _ number of switches for est
What is spatial parallelism
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