What are evolutionary algorithms and how do they work?
Evolutionary algorithms are optimization techniques inspired by natural selection. They use mechanisms like mutation, crossover, and selection to evolve solutions to problems over generations.
Can you give me an example of where they are used?
Sure! They are commonly used in fields like machine learning, engineering design, and even in game development to optimize strategies.
What are the main advantages of using evolutionary algorithms?
Some advantages include their ability to handle complex, multi-dimensional problems and their flexibility in adapting to different types of optimization tasks.
Are there any limitations to these algorithms?
Yes, they can be computationally expensive and may converge to local optima rather than the global optimum if not properly tuned.
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