In this topic, we will explain Genetic algorithm in detail, including basic terminologies used in Genetic algorithm, how it works, advantages and limitations of genetic algorithm, etc. Genetic Algorithms are being widely used in different real-world applications, for example, Designing electronic circuits, code-breaking, image processing, and artificial creativity. It is one of the important algorithms as it helps solve complex problems that would take a long time to solve. Next → ← prev Genetic Algorithm in Machine LearningĪ genetic algorithm is an adaptive heuristic search algorithm inspired by 'Darwin's theory of evolution in Nature.' It is used to solve optimization problems in machine learning.
