Fundamental Research on Genetic Algorithms

Abstract—Genetic Algorithms uses the population selection technology, newer population is generated from current population by cross, mutation and other genetic operations, and gradually make the population to evolve the optimization result. Compared with traditional optimization methods, Genetic Algorithm has two notable characters, one is the latent parallelism and the other is searching in the whole area. And because of its independence, global optimization and implicit parallelism, GA is developed and applied by more and more people, so has been widely used in many fields, such as adaptive control, combinatorial optimization, pattern recognition, machine learning, artificial life and management decisions,etc