In genetic algorithms, encoding refers to the process of representing a solution to a problem in the form of a string of symbols that can be manipulated by the genetic algorithm. The encoding scheme used depends on the nature of the problem being solved and the representation of the solutions. Some common encoding schemes used in genetic algorithms include binary encoding, real-valued encoding, and permutation encoding. The choice of encoding can affect the performance and efficiency of the genetic algorithm.
