A Comparison of heuristic search algorithms for predicting the effort component of software projects
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IEEE
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info:eu-repo/semantics/closedAccess
Özet
This paper presents a new model to calculate the effort component of a software project. To find the optimal values of the parameters of the proposed model, this study used Genetic Algorithm (GA), Simulated Annealing (SA) and Tabu Search (TS) based algorithms. The results of the heuristic algorithms used are also compared.
Açıklama
Anahtar Kelimeler
Global Optimization, Tabu Search
Kaynak
2008 International Conference on Computational Intelligence for Modelling Control & Automation
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1
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Künye
UYSAL, M. (2008). A Comparison of heuristic search algorithms for predicting the effort component of software projects. In IEEE Staff (eds). 2008 International Conference on Computational Intelligence for Modelling Control & Automation, Volume, 1, pp. 92-97. Vienna, IEEE. https://dx.doi.org/10.1109/CIMCA.2008.17.
