What is a genetic algorithm?
A genetic algorithm is a search heuristic inspired by the process of natural selection. It is used to solve optimization problems.
How does it work?
It works by evolving a population of candidate solutions over generations, selecting the fittest individuals to create new offspring.
Can you give me an example of its application?
Sure! Genetic algorithms are often used in fields like artificial intelligence, engineering design, and even in financial modeling.
What are the advantages of using genetic algorithms?
They can efficiently explore large search spaces and find good solutions for complex problems where traditional methods may fail.
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