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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.
Which of the memories stores the most number of bits ? Ans. most number of bits stores in 32M x 8 As 2 5 x 2 20 = 2 25 Therefore 1M = 2 20 = 1K x 1K = 2 10 x 2 10
Generally the Instruction Set Architecture (ISA) of a processor can be distinguished using five categories: Operand Storage in the CPU - Where are the operands kept other t
State about the Object models Object models are used for explaining the objects in the system and their connection with each other in the system. The dynamic model explains in
Digital Signature is Software to recognize signature
Buses: Execution of 1 instruction need the following 3 steps to be performed by the CPU: I. Fetch the contents of the memory location pointed at by the computer syst
Weight Training Calculations: However we have more weights in our network than in perceptrons but we firstly need to introduce the notation as: w ij just to specify the weigh
The Credit Line The Credit Line is a set of informational facts usually found below or beside a picture of a work of art. Should the picture appear in a book, magazine, poster,
Add +25 to -15 by using 2's complement ? Ans. Firstly convert the numbers 25 and 15 in its 8-bit binary equivalent and determine the 2's complement of 15, after that add +25 to -
Input device used in computer system: An input device is typically a mouse or keyboard, the input device is the conduit through which data and instructions enter a computer. A
What are Language Processor Development Tools (LPDTs)? LPDT that is Language processor development tools focuses upon generation of the analysis phase of language processors. T
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