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Solving the Software Project Scheduling Problem Using Intelligent Water Drops
| Content Provider | Semantic Scholar |
|---|---|
| Author | Crawford, Broderick Soto, Ricardo Astorga, Gino Castro, Carlos Paredes, Fernando Misra, Sanjay Rubio, J. |
| Copyright Year | 2018 |
| Abstract | Within the category of project scheduling problems, there is a specific problem within the software industry referred to as the software project scheduling problem. The problem consists in the correct allocation of employees to the different tasks that make up a software project, bearing in mind time and cost restraints. To achieve this goal, the present work first uses metaheuristic intelligent water drops illustrating; this is a recent stochastic swarm-based method increasingly used for solving optimization problems. Finally, the results and comparisons with experiments performed with other techniques are presented, demonstrating the solidity of the approach presented. |
| Starting Page | 350 |
| Ending Page | 357 |
| Page Count | 8 |
| File Format | PDF HTM / HTML |
| DOI | 10.17559/TV-20160629224348 |
| Alternate Webpage(s) | https://hrcak.srce.hr/file/293188 |
| Alternate Webpage(s) | https://doi.org/10.17559/TV-20160629224348 |
| Volume Number | 25 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
