A software pattern of the Genetic Algorithm
Zhuo Shi, Liu Chao, Keqing He · Wuhan University Journal of Natural Sciences · 2001
The Genetic Algorithm (GA) has been a pop research field, but there is little concern on GA in view of Software Engineering and this result in a series of problems. In this paper, we extract a GA’s software pattern, draw a model diagram of the reusable objects, analyze the advantages and disadvantages of the pattern, and give a sample code at the end. We are then able to improve the reusability and expansibility of GA. The results make it easier to program a new GA code by using some existing successful operators, thereby reducing the difficulties and workload of programming a GA’s code, and facilitate the GA application.