A cellular learning automata-based algorithm for solving the vertex coloring problem

By Javad Akbari Torkestani, Mohammad Reza Mollakhalili Meybodi. Expert systems with applications, 2011

610 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/2dd140faee3c2fd4ccb60876e8ceb621be846f1c

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In Computational Theory and Mathematics

In Computer Networks and Communications

Citations in the corpus

Data mining techniques and applications — A decade review (2017, background): “Data mining can be used in different perspective with respect to dataset given to solve a specific real time issue [8].”
Active Fairness in Algorithmic Decision Making (2018, background): “…medical diagnosis and treatment (Kleinberg et al. 2015), human resource management (Chalﬁn et al. 2016), social work (Gillingham 2015), credit (Huang, Chen, and Wang 2007), and insurance (Siegel 2013)—there is widespread concern about how these can deepen social inequalities and systematize…”
Classification methods applied to credit scoring: A systematic review and overall comparison (2016, methodology): “Huang et al. (2007) proposed a hybrid method that integrates genetic algorithm and support vector machine to perform feature selection and model parameters optimisation simultaneously, as well as Lee et al. (2002); Lee and Chen (2005); Hsieh (2005); Huysmans et al. (2006); Shi (2009); Chen et al.…”
Genetic algorithm-based heuristic for feature selection in credit risk assessment (2014, neutral): “970 GP (Huang et al., 2007) 13.”
Credit Scoring Models Using Soft Computing Methods: A Survey (2010, methodology): “In [13], inputs selection has applied technique to build a less complicated credit scoring model with relatively few inputs.”
Consumer Credit Risk Models Via Machine-Learning Algorithms (2010, methodology): “We review these security protocols in Section 2.2.”
Machine Learning in Banking Risk Management: A Literature Review (2019, neutral): “The SVM has been applied as is or in some varied form to design a credit risk evaluation and credit scoring models (Bellotti and Crook 2009; Cao et al. 2013; Van Gestel et al. 2003; Huang et al. 2007; Lai et al. 2006).”