Evolving software design methodologies in automatic programming systems using Cultural Algorithms
Robert G. Reynolds, Elena Zannoni · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 1996
In this paper, we will present the results of embedding a Genetic Programming system within the Cultural Algorithm framework. Our goal is two fold. First, we want to investigate whether information extracted from the individual programs generated by the Genetic Programming system can be used to improve the rate and quality of tile problem solving process. Second, we would like to identify the nature of the information extracted during the solution process and its function in the implementation of GP programs. Our investigations showed that tile {open_quotes}culturing{close_quotes} of the Genetic Programming paradigm can improve the search process for a solution to the quartic polynomial symbolic regression problem. Various categories of information extracted during the process have been identified, which can be related to some of the basic principles of software engineering.