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Publikācija: Application of Genetic Algorithms for Decision-Making in Project Management: A Literature Review

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Publikācijas valoda English (en)
Nosaukums oriģinālvalodā Application of Genetic Algorithms for Decision-Making in Project Management: A Literature Review
Pētniecības nozare 1. Dabaszinātnes
Pētniecības apakšnozare 1.2. Datorzinātne un informātika
Pētniecības platforma Informācijas un komunikāciju tehnoloģijas
Autori Ieva Ancveire
Inese Poļaka
Atslēgas vārdi Algorithm limitations; genetic algorithm; project management
Anotācija In software development projects, managers still have to face a variety of organisational and technical limitations despite the development of technology and approaches to improve the project management process. Projects, Human Resources and Costs are planned for a specific period of time. However, in the progression of project execution, there is a need to make various decisions and to dynamically adjust the work plan during the project in order to conform to its evolution. Thus, there is a need for a method that employs the latest technology to support the project management decision-making process. The aim and the expected result of the article are to identify and collect available information in the scientific literature to answer the following questions: (1) Which challenges of project management have been addressed using genetic algorithms? (2) What are the opportunities and limitations of genetic algorithms in the project management decision-making process? (3) What are the potential solutions to the identified genetic algorithm problems?
DOI: 10.7250/itms-2019-0004
Hipersaite: https://doi.org/10.7250/itms-2019-0004 
Atsauce Ancveire, I., Poļaka, I. Application of Genetic Algorithms for Decision-Making in Project Management: A Literature Review. Information Technology and Management Science, 2019, Vol. 22, 22.-31. lpp. ISSN 2255-9086. e-ISSN 2255-9094. Pieejams: doi:10.7250/itms-2019-0004
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