I enjoyed this post but I think that this is a misinformed statement.
Genetic Algorithms are most useful in large search spaces (enumerating here would be impossible, were talking about spaces that could be 10^100) and highly complex non-convex functions.
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Genetic algorithms have been used in science and engineering as adaptive
algorithms for solving practical problems and as computational models of natural evolutionary systems. This brief In mathematics and computer science, an
algorithm (/ ˈ æ l ɡ ə r ɪ ð əm / ()) is an unambiguous specification of how to solve a class of problems.
Algorithms can perform calculation, data processing, and automated reasoning tasks.. As an effective method, an
algorithm can be expressed within a finite amount of space and time and in a well-defined formal language for calculating a function.
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algorithms (EA).
Genetic algorithms are commonly used to generate high-quality solutions to optimization and search problems by relying on bio-inspired operators such as mutation, crossover and selection.
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