Improved memetic programming algorithm Online publication date: Wed, 13-Jul-2022
by Souhir Elleuch; Bassem Jarboui
International Journal of Operational Research (IJOR), Vol. 44, No. 3, 2022
Abstract: Automatic programming is an efficient technique that has contributed to an important development in the field of artificial intelligence. Genetic programming (GP) is a well known automatic programming algorithm based on genetic algorithm and evolves programs. In the present paper, we propose a new automatic programming method called two-dimensional memetic programming. It combines GP with local searches. We also introduce a new program representation for automatic programming algorithms. For this reason, the memetic programming algorithm is extended to evolve this program specific structure. To show the effectiveness of our method, we tested it on benchmark problems drawn from time series prediction and medical datasets classification, and we compared it with the related techniques.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Operational Research (IJOR):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com