dc.contributor.advisor |
Aponsu, Achala |
|
dc.contributor.author |
Perera, Vinusha |
|
dc.date.accessioned |
2019-02-19T14:13:36Z |
|
dc.date.available |
2019-02-19T14:13:36Z |
|
dc.date.issued |
2018 |
|
dc.identifier.citation |
Perera, V. (2018) Intelligent Sorting Mechanism using Multiobjective Optimization For Effective Task Sorting in Project Management BSc. Dissertation. Informatics Institute of Technology |
en_US |
dc.identifier.other |
2014043 |
|
dc.identifier.uri |
http://dlib.iit.ac.lk/xmlui/handle/123456789/123 |
|
dc.description.abstract |
Effectively managing tasks is one of the key aspects of an ongoing project. By managing the tasks
effectively, chance of failing the project comes to a minimum risk. Furthermore this could be beneficial
to both the project owner and the project undertaking company. In order to effectively manage the
tasks, a person with a good understanding of the project needs manage the overall project. Through
an in-depth literature survey, a new system is proposed to increase the efficiency of this manually
done process.
For this research a new approach to conventional task sorting mechanism was introduced based on
multiobjective optimization algorithms. The proposed system is capable of sorting given number of
tasks considering multiple objectives producing more efficient results compared to the conventional
sorting mechanisms. |
en_US |
dc.subject |
Multiobjective Optimization |
en_US |
dc.subject |
Non-dominated Sorting |
en_US |
dc.title |
Intelligent Sorting Mechanism using Multiobjective Optimization For Effective Task Sorting in Project Management |
en_US |
dc.type |
Thesis |
en_US |