Enhanced differential evolution with information preserving selection strategy
by Pravesh Kumar
International Journal of Advanced Intelligence Paradigms (IJAIP), Vol. 27, No. 3/4, 2024

Abstract: In the present paper, two modifications for differential evolution (DE) algorithm are proposed. The first modification is the proposal of a new selection technique called information preserving strategy (IPS), tries to preserve and utilise the important information about the search domain. The corresponding DE variant is called IpDE. The second modification is a new mutation strategy and called enhance DE algorithm (EDE). Furthermore, a new variant named IpEDE by combining EDE and IpEDE is also proposed. The performance of the proposed variants IpDE, EDE and IpEDE are validated on a set of test problems including standard test problems and the selected test problems of CEC-2008. The algorithms are compared with some of the prominent DE variants, and it is observed that the proposed modifications help in improving the performance of DE in terms of convergence rate and solution quality.

Online publication date: Mon, 13-May-2024

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
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 Advanced Intelligence Paradigms (IJAIP):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your 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