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Efficient team development for IT companies using genetic algorithm and evolutionary strategies

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Title: Efficient team development for IT companies using genetic algorithm and evolutionary strategies

Authors: Lakshmanan K., Joseph Christ Nithin I., N. Srinivasan

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2016

Volume: 11

Issue: 15

Language: English

Categories
Computer Science (14978) Software Engineering (1373) Evolutionary Strategies (1) Team Development (1) Genetic Algorithms (38)

Abstract

Selecting a team for project management is a challenging task. Validating one’s skill is a tough task to estimate. The traditional methods lag in time and skill strategy. We in this project proposed a novel method of finding one’s skill set and selecting employees for project development using genetic algorithm. The team selection by using genetic algorithm can be used in various field and organizations such as sports, companies, industries, etc. It is to assign efficient staffs for a project in IT-companies according to their skill, performance and other activities.

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