As a general rule of thumb genetic algorithms might be useful in problem domains that have a complex fitness landscape as crossover is designed to move the population away from local optima that a traditional hill climbing algorithm might get stuck ...
If you used this rule of thumb to weight the importance of one dimension over the other it would be clear that in one case you were much "further away" from your destination ("11 miles") than in the second ("2 miles").
5% after 1000 iterations (in my high school science classes, the rule of thumb was that any percent error of 5% or less was acceptable), compared to the 29% and 20% of the others (both of which, according to the above rule, are unacceptable).
(c) Heuristic Search: Classically heuristics means rule of thumb. In heuristic search, we generally use one or more heuristic functions to determine the better candidate states among a set of legal states that could be generated from a known state.
Heuristic is a rule of thumb that probably leads to a solution. Heuristics play a major role in search strategies because of exponential nature of the most problems.
An heuristic is commonly called a rule of thumb. That is, an heuristic is a method for solving a problem that doesn't guarantee a good solution all the time, but usually does. The term is attributed to the mathematician, George Polya.
There is no known rule of thumb although plenty of researchers have tried to come up with one.
A rule of thumb indicates that 85% of all problems can be learned by neural network with single hidden layer, and this network architecture is most commonly used in formulation development.
The rule of thumb in establishing dependency relations between two concepts is whether one item can be understood without the other. A governor can be understood by itself.
For general rule of thumb, the R-squared or adjusted R-squared should be higher than 0.80 to produce a good linear model. If your R-squared is less than 0.5, it is recommended that you consider other type of model rather than linear model.
Optimising as-you-go
The general rule of thumb is don't optimise as you go along.
This distance is called the interquartile range (IQR) and is defined as
IQR = Q3 âˆ' Q1 .
Rule of thumb for identifying suspected outliers is to single out values falling at least 1.5 Ã- IQR above the third quartile or below the first quartile.
In practice, it is not important that you use the exact estimated value of lambda for transforming the dependent variable. Rather, as a rule of thumb, you should consider the following transformations: ...
Fixed-parameter algorithms can be seen as an implementation of this approach.
Heuristic: An algorithm that works "reasonably well" on many cases, but for which there is no proof that it is always fast (a rule of thumb, intuition).
 See also: Knowledge, Artificial intelligence, Distribution, AI, Complexity
  
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