What is the future of genetic algorithms?
An example of an AI chatbot conversation about the future of genetic algorithms.
What is the future of genetic algorithms?
The future of genetic algorithms looks promising, especially in fields like optimization, machine learning, and bioinformatics.
How are they being used in machine learning today?
Currently, genetic algorithms are used for feature selection, hyperparameter tuning, and evolving neural network architectures.
What are some challenges they face?
Challenges include premature convergence, computational cost, and the need for careful parameter tuning.
Can you give examples of real-world applications?
Sure! They are used in areas like robotics for path planning, finance for portfolio optimization, and healthcare for drug design.
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