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Fuzzy based Quantum Genetic Algorithm for Project Team Formation

Author

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  • Arish Pitchai

    (National Institute of Technology Tiruchirappalli, Tiruchirappalli, India)

  • Reddy A. V.

    (National Institute of Technology Tiruchirappalli, Tiruchirappalli, India)

  • Nickolas Savarimuthu

    (National Institute of Technology Tiruchirappalli, Tiruchirappalli, India)

Abstract
Formation of an effective project team plays an important role in successful completion of the projects in organizations. As the computation involved in this task grows exponentially with the growth in the size of personnel, manual implementation is of no use. Decision support systems (DSS) developed by specialized consultants help large organizations in personnel selection process. Since, the given problem can be modelled as a combinatorial optimization problem, Genetic Algorithmic approach is preferred in building the decision making software. Fuzzy descriptors are being used to facilitate the flexible requirement specifications that indicates required team member skills. The Quantum Walk based Genetic Algorithm (QWGA) is proposed in this paper to identify near optimal teams that optimizes the fuzzy criteria obtained from the initial team requirements. Efficiency of the proposed design is tested on a variety of artificially constructed instances. The results prove that the proposed optimization algorithm is practical and effective.

Suggested Citation

  • Arish Pitchai & Reddy A. V. & Nickolas Savarimuthu, 2016. "Fuzzy based Quantum Genetic Algorithm for Project Team Formation," International Journal of Intelligent Information Technologies (IJIIT), IGI Global, vol. 12(1), pages 31-46, January.
    • Handle: RePEc:igg:jiit00:v:12:y:2016:i:1:p:31-46
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