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Systematic Literature Review on the Team Formation Problem

Lyutskanova, Gratsiela (2024) Systematic Literature Review on the Team Formation Problem.

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Abstract:The success of any team project is heavily influenced by its effective formation. However, assembling teams requires careful consideration and is often time-consuming due to the high number of aspects that must be taken into account such as candidates’ background, skill sets and other relevant attributes. The focus of this research is the Team Formation Problem (TFP) which is of critical importance to modern society. It is a complex issue which aims to allocate people from a large set of potential candidates to form an effective team. This study aims to perform a Systematic Literature Review (SLR) to identify and classify the most commonly used optimization techniques based on their application domains (e.g., education, sports, healthcare). Additionally, it contributes to the field by providing a taxonomy of these optimization techniques and algorithms. In this review, 3539 papers were retrieved from the Scopus and Web of Science databases. After duplicate removal, initial screening and eligibility assessment, 405 papers were reviewed and classified. The findings revealed that (1) the most used optimization techniques are Genetic Algorithms (GA) applied in 23% of the cases, followed by Greedy-based algorithms (9%) and Integer Linear Programming (ILP) approaches (8%). (2) The techniques are categorized into three major classes – Exact, Approximation and Hybrid approaches. Additionally, each class is further divided into multiple subclasses, creating a comprehensive taxonomy. (3) The most common application domains are General (60.5%) and Education (30.6%) with other domains (Sport, Healthcare, Software development, Game teams) constituting 8.9%.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Computer Science BSc (56964)
Link to this item:https://purl.utwente.nl/essays/103550
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