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: Traits from two parent solutions are combined to create new offspring, exploring new areas of the "search space".

Genetic algorithms are a powerful subset of evolutionary computing that mimic Charles Darwin's theory of natural selection to find high-quality solutions for complex optimization and search problems. [ FreeCourseWeb.com ] Udemy - Genetic Algorithm...

The working principle of a Genetic Algorithm typically follows these biologically inspired steps: : Traits from two parent solutions are combined

: Small, random changes are introduced into the offspring to maintain diversity and prevent the algorithm from getting stuck in local optima. : A strategy often taught in courses where

: A strategy often taught in courses where the very best solutions are preserved and passed directly to the next generation without modification. Popular Applications

: Each individual solution is assigned a score by a fitness function , which determines how close it is to the ideal solution.

: The fittest individuals are prioritized for "reproduction" to pass their traits to the next generation.