A genetic algorithm is an approach to solving problems based on the theory of evolution that uses the survival of the fittest concept as a problem-solving strategy.

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This statement is true. Genetic algorithms are inspired by the process of natural selection and use principles such as reproduction, mutation, and selection to find optimal solutions to problems. The fittest individuals in a population have a higher chance of being selected to pass on their genetic material to the next generation, just as the best solutions in a genetic algorithm are more likely to go through to the next generation of potential solutions.

A Genetic Algorithm Is an Approach to Solving Problems Based