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Intelligent Sorting Mechanism using Multiobjective Optimization For Effective Task Sorting in Project Management

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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


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