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I have read in a recent metaheuristic algorithm that a random number is drawn from a uniform distribution.Is there any difference/ significance in the nature of random number drawn from Normal distribution and Gaussian Distribution/Poisson Distribution?

user3284709
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    Your question is unclear. Can you explain more why you ask this question? Also, try asking the question on stats.stackexchange.com. – Peter O. Nov 21 '20 at 06:13
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    With a uniform distribution, every number is equally likely to be returned. In other distributions, e.g. [Gaussian](https://en.wikipedia.org/wiki/Normal_distribution), some numbers are more likely than others. – user3386109 Nov 21 '20 at 06:14
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    If you ask why some algorithm or other draws from a _uniform_ distribution as opposed to some other distribution, the reason depends on the specific algorithm, which you should state in more detail. – Peter O. Nov 21 '20 at 06:14

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uniform distribution means every outcome has equal probability to happen.

different Distributions are considering outcomes not that simple and made them more complex.

for example:

think of probability of having one dice faces 6:

its not dependent to any other probable variables, and we suppose each possible outcome equals 1/6.

but when we want probability of sum of two dice equals to 6 :

it can be more sophisticated since this variable depends on two simple variable:

dice A and dice B, each has an uniform distribution. but sum of the could have another distribution.

sum of two dice is achievable with these:

A:1 B:5 / A:2 B:4 / A:3 B:3 / A:4 B:2 / A:5 B:1

so there is another Distribution.

The Random Number Generator suppose there are No Consideration and No Inequality between probability of outcomes.

its simple as it is, to make he building block of any other distribution with more complex logic.

so its probability distribution is simple as uniform.

Abilogos
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