Improved environmental adaption method and its application in test case generation

Article type: Research Article

Authors: Mishra, K.K. | Tiwari, Shailesh | Misra, A.K.

Affiliations: Computer Science and Engineering Department, MNNIT Allahabad, Allahabad, India

Note: [] Corresponding author. Dr. Krishn Mishra, Computer Science and Engineering Department, MNNIT Allahabad, Allahabad, India. E-mail: [email protected]

Abstract: An Environmental Adaption Method (EAM) has been recently proposed in which, each solution updates its structure on the basis of current environmental fitness and its own fitness. EAM uses a new operator known as adaption operator. In this paper, an improved EAM, henceforth called as IEAM has been proposed and proper tuning of parameters of algorithm has been done to find the optimal solution in minimum time. IEAM has been tested on a set of benchmark functions. Results show the superiority of IEAM over PSO-TVAC, SADE and other optimization algorithms. Even for complex functions, the performance of IEAM is very good. In addition to this, IEAM has also been applied to software testing to generate test cases for white box testing.

Keywords: Evolutionary computing, improved EAM, PSO

DOI: 10.3233/IFS-141195

Journal: Journal of Intelligent & Fuzzy Systems, vol. 27, no. 5, pp. 2305-2317, 2014