Research On GEP Algorithm And Its Decoding Method

Gene expression programming,namely GEP algorithm combined with genetic algorithm(GA)and genetic programming(GP)two parts,has the advantages of easy operation,flexible and powerful ability to search the expression characteristics,evolution efficiency is higher than the traditional GA or GP algorithm,its superiority is aroused more and more scholars to research and design.In such a process of research and analysis,more and more scholars have conducted the improvement and development of the decoding structure,decoding the algorithm or operator formula,and achieved good effect,this paper will be based on the definition of GEP model,according to the way to improve gene decoding and update,proposed a GEP algorithm with new gene decoding methods,the main work is as follows:(1)an overview of the theory of traditional genetic algorithms and genetic programming,focuses on the algorithm flow and key factors,and analyzes the uniqueness of GEP algorithm.Meanwhile,it summarizes the key technologies of GEP algorithm,and realizes that GEP algorithm realizes the isolation between GA and GP.(2)the characteristics of GEP algorithm are studied and analyzed.Based on that,a new GEP decoding algorithm is proposed,aiming at reducing the amount of computation and improving the quality and quantity of result data.(3)the experiment and analysis of the new and the traditional GEP algorithm for gene decoding are carried out to determine the reliability and availability of the algorithm.(4)some work on Issues with Path Representation in Transition Systems.(5)a summary of the full text,that is,the advantages and disadvantages of which are summarized and summarized.