A Java EE Platform Test System Based on Improved Genetic Algorithm

Author:

Nie Shu Zhi1

Affiliation:

1. Jiangmen Polytechnic

Abstract

With the development of computer and network technology, traditional way of examinations because of too many artificial proportion, has become increasingly unsuited to the modern teaching demands. In this paper, used the popular B/S structure, combined with the MVC pattern in Java EE platform, used Apache Tomcat server, MySQL database technology, designed a suitable test database, utilized improved genetic algorithm to achieve automatic test paper, combined JavaBean and Session technical etc. to complete the automatic scoring and evaluation functions. Used the database connection pool to establish efficient connections, utilized regular expressions for user authentication, used Ajax technology to achieve partial-page refresh functions, the design fully reflected the superiority of the Java EE platform.

Publisher

Trans Tech Publications, Ltd.

Reference5 articles.

1. Wang Ming-bin. Design and Implementation of Online Examination System Based on Java EE. Master's Thesis of Beijing University of Posts and Telecommunications. (2010), pp.12-35.

2. N. Pillay, W. Banzhaf. An Informed Genetic Algorithm for the Examination Timetabling Problem. Applied Soft Computing. Vol. 2(2010), pp.457-467.

3. Vladimir Filipović. Fine-Grained Tournament Selection Operator in Genetic Algorithms. Computing and Informatics. Vol. 2(2012), pp.143-161.

4. Liu Yang, Cao Bao-xiang. Design and implementation of exam system based on J2EE. Computer Engineering and Design. Vol. 28(2007), pp.990-993.

5. Ivanović M, Vidaković M, Mitrović D, et al. Evolution of extensible java EE-Based agent framework[M]/Agent and Multi-Agent Systems. Technologies and Applications. (2012), pp.444-453.

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