Publications

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2018
Prakash, J, Singh PK, Kishor A.  2018.  Integrating fitness predator optimizer with multi-objective PSO for dynamic partitional clustering. Progress in Artificial Intelligence [Indexed: Scopus]. :1–17.: Springer Abstract
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2017
Prakash, J, Singh PK.  2017.  Gravitational search algorithm and K-means for simultaneous feature selection and data clustering: a multi-objective approach. {Soft Computing [Indexed: SCI. :1–18.: Springer Abstract
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Prakash, J, Singh PK.  2017.  Hybrid Gbest-guided Artificial Bee Colony for hard partitional clustering. International Journal of System Assurance Engineering and Management [Indexed: Scopus]. :1–18.: Springer Abstract
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2016
Kishor, A, Singh PK, Prakash J.  2016.  NSABC: Non-dominated sorting based multi-objective artificial bee colony algorithm and its application in data clustering. {Neurocomputing [Indexed: SCI. 216:514–533.: Elsevier Abstract
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2015
Prakash, J, Singh PK.  2015.  An effective multiobjective approach for hard partitional clustering. {Memetic Computing [Indexed: SCI. 7:93–104., Number 2: Springer Abstract
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Prakash, J, Singh PK.  2015.  Particle Swarm Optimization with K-Means for Simultaneous Feature Selection and Data Clustering. Soft Computing and Machine Intelligence (ISCMI), 2015 Second International Conference on. :74–78.: IEEE Abstract
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2014
Prakash, J, Singh PK.  2014.  An effective hybrid method based on de, ga, and k-means for data clustering. Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS 2012), December 28-30, 2012. :1561–1572.: Springer Abstract
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Prakash, J, Singh PK.  2014.  Evolutionary and swarm intelligence methods for partitional hard clustering. Information Technology (ICIT), 2014 International Conference on. :264–269.: IEEE Abstract
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2013
Prakash, J, Singh PK.  2013.  Partitional algorithms for hard clustering using evolutionary and swarm intelligence methods: a survey. Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012). :515–528.: Springer Abstract
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