An improved memetic differential evolution for college students' comprehensive quality evaluation
by Yuan Wang; Zhenguo Ding; Mingchen Zuo; Lei Peng
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 13, No. 3, 2017

Abstract: The evaluation of the comprehensive quality of college students is a key problem in the management of college student affairs. In this paper, we present an improved memetic differential evolution algorithm to get the best weights of the College Students' Comprehensive Quality Evaluation (CSCQE) problem. The proposed algorithm, called Uniform Memetic Differential Evolution (UMDE), hybridises differential evolution (DE) with a local search (LS) operator and a periodic uniform design re-initialisation scheme to balance the exploration and exploitation. UMDE is compared with five well-known evolutionary algorithms on twenty-one benchmark functions. The results show that UMDE can obtain results better than, or at least comparable with, the compared algorithms. And then, UMDE is used to solve the CSCQE problem. The results show that UMDE can find better weights of the index system.

Online publication date: Mon, 11-Dec-2017

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 Wireless and Mobile Computing (IJWMC):
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