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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.
What is a symbolic constant? How it is defined ? Symbolic constants are constants of any type declared by using the #define compiler directive. It is a preprocessor directive.
How would ASP and ASP.NET apps run at the same time on the same server? Both ASP and ASP.net can be run at similar server, becuase IIS has the capability to respond/serve both
The hybrid models are mostly tailormade models suiting to exact applications. Actually these fall in the category of mixed models. Such type of application-oriented models keep cro
explain depth buffer algorithm and its application?
Drawbacks to resolution theorem: Thus the underlining here identifies some drawbacks to resolution theorem proving: It only works for true theorems that can be expresse
There is a built-in function function known as cellfun that evaluates a function for each element of a cell array. Make a cell array, then call the cellfun function, passing the h
Name and explain the popular techniques to identify free memory areas as a result of allocation and de-allocations in a heap. Two well-liked techniques to identify free memory
Constraint Satisfaction Problems: Furthermore I was perhaps most proud of AI on a Sunday. However this particular Sunday, a friend of mine found an article in the Observer reg
c programming code for pebble merchant
Which term is associated with SNMP? MIB is related with SNMP.
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