Evolutionary Algorithms

Evolutionary algorithms are a subset of optimization algorithms inspired by the principles of natural selection and genetics. They utilize mechanisms such as mutation, crossover, and selection to evolve solutions to complex problems over successive generations. Common characteristics include the ability to work with large and complex search spaces, and the capacity to find approximate solutions rather than exact ones. These algorithms are widely used in various fields, including engineering design, artificial intelligence, and optimization problems, making them versatile tools for tackling challenging computational tasks.