Evolutionary Interactive Genetic Algorithm: A special breed of Interactive Genetic Algorithm

In this paper, a new breed of Interactive Genetic Algorithms (IGA) is proposed. It is based on the idea of outsourcing and natural evolutionary process, which is a ongoing process in the nature. In evolutionary interactive genetic algorithm (EIGA), both selection process and the organization of the genetic process are outsourced, i.e. delegated to outside human agent. In nature, not only the organisms evolve in their corresponding environment, but the environment itself also evolves during the course of evolution process, which means at the beginning of evolution process, the "satisfactory solutions" are not foreseeable. The suggested model allows IGAs dealing with problems where "satisfactory solutions" are not conceivable at the very beginning of GA process. In other words, it offers one more perspective in searching for optimal solutions. Moreover, EIGA makes IGAs a more complete algorithm in the sense of natural evolution.