@article{article_287764, title={An Optimization Model And Genetic Algorithm Solution For Software Projects}, journal={International Journal of Electronics Mechanical and Mechatronics Engineering}, volume={6}, pages={1251–1257}, year={2016}, DOI={Doi: 10.17932/IAU.IJEMME.m.21460604.2016.6/3.1251-1257}, author={Dil, Yücel and Kasapbaşı, Mustafa Cem}, keywords={Software project management,genetic algorithm,optimization}, abstract={<p class="MsoNormal" style="text-align:justify;"> <span lang="en-us" xml:lang="en-us">Many optimization
techniques which are inspired by the nature are used in optimization problems.
Genetic Algorithms (GA) is an optimization algorithm, tries to mimic the
natural process of livings. Allowing to survive better generation therefore
inheriting the better qualifications to next generations. In this study genetic
algorithm is used to find the optimal cost for a software project. In order to
evaluate results of the genetic algorithm, a test system based on linear
programming is established. The results indicates that designed genetic
algorithm optimization model successfully calculated the cost of software
project very close to deterministic costs </span>.   <span style="font-size:12pt;line-height:107%;"> </span> </p> <p> </p>}, number={3}, publisher={Istanbul Aydin University}