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Fuzzy based Quantum Genetic Algorithm for Project Team Formation

Fuzzy based Quantum Genetic Algorithm for Project Team Formation

Arish Pitchai, Reddy A. V., Nickolas Savarimuthu
Copyright: © 2016 |Volume: 12 |Issue: 1 |Pages: 16
ISSN: 1548-3657|EISSN: 1548-3665|EISBN13: 9781466689404|DOI: 10.4018/IJIIT.2016010102
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MLA

Pitchai, Arish, et al. "Fuzzy based Quantum Genetic Algorithm for Project Team Formation." IJIIT vol.12, no.1 2016: pp.31-46. http://doi.org/10.4018/IJIIT.2016010102

APA

Pitchai, A., Reddy A. V., & Savarimuthu, N. (2016). Fuzzy based Quantum Genetic Algorithm for Project Team Formation. International Journal of Intelligent Information Technologies (IJIIT), 12(1), 31-46. http://doi.org/10.4018/IJIIT.2016010102

Chicago

Pitchai, Arish, Reddy A. V., and Nickolas Savarimuthu. "Fuzzy based Quantum Genetic Algorithm for Project Team Formation," International Journal of Intelligent Information Technologies (IJIIT) 12, no.1: 31-46. http://doi.org/10.4018/IJIIT.2016010102

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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.

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