Genetic algorithm
A genetic algorithm is a search heuristic that is inspired by Charles Darwin's theory of natural evolution, used to find optimal or near-optimal solutions to a problem. This complex algorithm reflects the process of Evolution and Natural selection, where the fittest individuals are selected for Reproduction and their genetic information is passed on to the next generation. In a genetic algorithm, a population of candidate solutions is generated and evolved over time through the use of Mutation, Selection, and Crossover operators. The algorithm is often used in Optimization problems, such as neural network training and image processing. John Holland, a pioneer in the field, introduced the concept of genetic algorithms in the 1970s.