Evolutionary algorithms are used primarily in the fields of artificial intelligence, industry and Factory 4.0 as well as automation. They are among the most important methods when it comes to solving complex problems with computers.
Think of evolutionary algorithms as a kind of "artificial evolution": Just like in nature, where animals adapt to their environment over time, these algorithms utilise the principles of selection, variation and mutation. The computer generates many different solutions and then "selects" the best ones. These best ideas are then further modified and tested until the optimum solution is finally found.
A practical example: evolutionary algorithms are used in industry to optimise manufacturing processes. They help to readjust machines so that fewer rejects are produced and resources are saved. The big advantage: the computer can find solutions that no one had previously thought of.
Evolutionary algorithms therefore enable companies to find innovative approaches more quickly and efficiently - saving time and money and ensuring competitiveness.
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