Define the following operations in Genetic algorithm with one example of each

i) Crossover

ii) Mutation

Genetic algorithms (GAs) are a type of optimization algorithm inspired by the process of natural selection. They are commonly used in soft computing and have various applications in optimization, machine learning, and problem-solving. Two fundamental operations in a genetic algorithm are crossover and mutation. Here's a brief explanation of each with one example for _________ _________ ______ ______ ____ __________ ____.
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