Genetic Programming Bibliography entries for Vipul K Dabhi

up to index Created by W.Langdon from gp-bibliography.bib Revision:1.7576

GP coauthors/coeditors: Sanjay K Vij, Sanjay Chaudhary, Hardik H Maheta, Tejashvi R Naik, Siddharth Shroff,

Genetic Programming Articles by Vipul K Dabhi

Genetic Programming conference papers by Vipul K Dabhi

  1. Hardik H. Maheta and Vipul K. Dabhi. Classification of imbalanced data sets using Multi Objective Genetic Programming. In 2015 International Conference on Computer Communication and Informatics (ICCCI), 2015. details

  2. Vipul K. Dabhi and Sanjay Chaudhary. Time Series Modeling and Prediction Using Postfix Genetic Programming. In Fourth International Conference on Advanced Computing Communication Technologies (ACCT 2014), pages 307-314, 2014. details

  3. Vipul K. Dabhi and Sanjay Chaudhary. Semantic Sub-tree Crossover Operator for Postfix Genetic Programming. In Jagdish Chand Bansal and Pramod Kumar Singh and Kusum Deep and Millie Pant and Atulya Nagar editors, Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012), volume 201, pages 391-402, 2012. Springer. details

  4. Vipul K. Dabhi and Sanjay K. Vij. Empirical modeling using symbolic regression via postfix Genetic Programming. In International Conference on Image Information Processing (ICIIP 2011), Himachal Pradesh, 2011. details

Genetic Programming other entries for Vipul K Dabhi

  1. Vipul K. Dabhi and Sanjay Chaudhary. Developing Postfix-GP Framework for Symbolic Regression Problems. 2015. Comment: 8 pages, 6 figures. details

  2. Siddharth Shroff and Vipul Dabhi. Dew Point modelling using GEP based multi objective optimization. 2013. Comment: 14 pages, 8 figures. arXiv admin note: substantial text overlap with arXiv:1304.4055. details

  3. Tejashvi R. Naik and Vipul K. Dabhi. Improving Generalization Ability of Genetic Programming: Comparative Study. 2013. details

  4. Vipul K. Dabhi and Sanjay Chaudhary. A Survey on Techniques of Improving Generalization Ability of Genetic Programming Solutions. 2012. details