Title :
Automated test data generation using computational intelligence
Author :
Saumya Dixit;Pradeep Tomar
Author_Institution :
Department of Computer Science, School of ICT, Gautam Buddha University, Greater Noida, Uttar Pradesh, India
Abstract :
This paper evaluates performance of Genetic Algorithm (GA) & Particle Swarm Optimization (PSO) and henceforth derive an algorithm Genetic Particle Swarm Hybrid Algorithm (GPSHA) which is combination of these techniques. The comparison of the algorithms´ performance is done, to prove the efficiency of the GPSHA over GA and PSO, based on the number of generations and uniqueness of the test cases that are generated.
Keywords :
"Genetic algorithms","Sociology","Statistics","Software","Biological cells","Particle swarm optimization","Algorithm design and analysis"
Conference_Titel :
Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions), 2015 4th International Conference on
DOI :
10.1109/ICRITO.2015.7359319
