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An Approach in the Software Testing Environment using Artificial Bee Colony (ABC) Optimization
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 58 - Number 21 |
| Year of Publication: 2012 |
| Authors: Tajinder Singh, Mandeep Kaur Sandhu |
10.5120/9404-3662
|
Tajinder Singh, Mandeep Kaur Sandhu . An Approach in the Software Testing Environment using Artificial Bee Colony (ABC) Optimization. International Journal of Computer Applications. 58, 21 ( November 2012), 5-7. DOI=10.5120/9404-3662
Abstract
So many techniques are used in the software testing environment and in this paper we survey the ABC algorithmic approach and its advantages over the GA (Genetic Algorithms). Artificial bee colony (ABC) algorithm is one of the most recently introduced swarm–based algorithms. These optimization approaches helps in memorization and also support the global optima. This algorithm is based on colony size and the maximum number of cycles per number. In this algorithm we know that it is a optimization tool which provides the population based search procedure which is known as Food Sources and these food sources are searched by Employee Bees ABC as an optimization tool which provides a population-based search procedure in which individuals food positions are modified by different bees with time.
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