Genetic Algorithms
Genetic Algorithms (GAs) are a type of artificial intelligence algorithm that mimics the processes in natural selection. They are used to solve complex problems that are too difficult to solve using traditional methods. GAs use principles of evolution that are inspired by nature’s methods of survival and reproduction. In GAs, solutions to problems are represented as chromosomes containing coded bits of information and “survival of the fittest” principles are used to find the best solution. GAs are used for a wide range of applications, from solving global optimization problems to scheduling tasks, from machine learning to simulating cellular automata.
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