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ORCIDRituparna Datta
Person information
- affiliation: Indian Institute of Technology, Kanpur
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2020 – today
- 2024
[j7]Akkarapakam Suneesh Jacob
, Rituparna Datta:
Automatic Computation for Robot Design (ACRoD): A Python package for numerical calculation of Jacobian of a robot at a given configuration around a specified end-effector point. J. Open Source Softw. 9(96): 5927 (2024)- [c33]Akkarapakam Suneesh Jacob, Rituparna Datta, Ettaboina Madhusudan Raju:
An Analysis on the Impact of Approximation of Scaling and Manipulability Approaches in Dimensional Synthesis of Robots. MMAR 2024: 175-180 - 2022
- [i1]Akkarapakam Suneesh Jacob, Bhaskar Dasgupta, Rituparna Datta:
Enumeration of spatial manipulators by using the concept of Adjacency Matrix. CoRR abs/2210.03327 (2022) - 2020
- [j6]Michal Witold Przewozniczek, Rituparna Datta, Krzysztof Walkowiak, Marcin Michal Komarnicki:
Splitting the fitness and penalty factor for temporal diversity increase in practical problem solving. Expert Syst. Appl. 145: 113126 (2020) - [c32]Jarrod Carson, Kane Hollingsworth, Rituparna Datta, George W. Clark, Aviv Segev:
A Hybrid Decision Tree-Neural Network (DT-NN) Model for Large-Scale Classification Problems. IEEE BigData 2020: 4103-4111 - [c31]Sukhwan Jung, Rituparna Datta, Aviv Segev:
An Automatic Classification of the Primary and the Corresponding Authors in Research Articles. IEEE BigData 2020: 4604-4612 - [c30]Sukhwan Jung, Rituparna Datta, Aviv Segev:
Identification and Prediction of Emerging Topics through Their Relationships to Existing Topics. IEEE BigData 2020: 5078-5087
2010 – 2019
- 2019
- [j5]Rituparna Datta, Kalyanmoy Deb, Jong-Hwan Kim:
CHIP: Constraint Handling with Individual Penalty approach using a hybrid evolutionary algorithm. Neural Comput. Appl. 31(9): 5255-5271 (2019) - [c29]Manish Pandey, Rituparna Datta, Rajarshi Dey, Bishakh Bhattacharya:
Multi-objective Optimisation of Dynamic Responses for a Rail Freight Wagon using Regression Models. ICCI*CC 2019: 361-365 - [c28]Liangming Cai, Chunqiang Chen, Xiaoling Wang, Xiong Yang, Shurui Lin, Jiefeng Huang, Jinping Jiang, Rituparna Datta, Min Du, Haiyan Jiang, Minchen Zhu, Jingshan Huang:
Sleep Disorder Classification Method based on Logistic Regression with Apnea-ECG Dataset. AIAM (ACM) 2019: 13:1-13:4 - [c27]Liangming Cai, Rituparna Datta, Jingshan Huang, Shuai Dong, Min Du:
Sleep Disorder Data Stream Classification Based on Classifiers Ensemble and Active Learning. BIBM 2019: 1432-1435 - [c26]Jarrod Carson, Kane Hollingsworth, Rituparna Datta, Aviv Segev:
Failing & !Falling (F&!F): Learning to Classify Accidents and Incidents in Aircraft Data. IEEE BigData 2019: 4357-4365 - [c25]John Pomerat, Aviv Segev, Rituparna Datta:
On Neural Network Activation Functions and Optimizers in Relation to Polynomial Regression. IEEE BigData 2019: 6183-6185 - [c24]Jatin Gupta, Rituparna Datta, Arun Kumar Sharma, Aviv Segev, Bishakh Bhattacharya:
Evolutionary Computation for Optimal LQR Weighting Matrices for Lower Limb Exoskeleton Feedback Control. CSE/EUC 2019: 24-29 - [c23]Liangming Cai, Rituparna Datta, Yurong Li, Jingshan Huang, Chunqiang Chen, Xiaoling Wang, Shurui Lin, Kai Cheng, Jiefeng Huang, Jinping Jiang, Minchen Zhu, Min Du:
An Open Source Map Optimization Platform for Efficient Navigation. CSE/EUC 2019: 61-65 - [c22]Aviv Segev, Rituparna Datta, Ryan Benton, Dorothy Curtis:
OINNIONN: outward inward neural network and inward outward neural network evolution. GECCO (Companion) 2019: 79-80 - [c21]Shree Ram Pandey, Rituparna Datta, Aviv Segev, Bishakh Bhattacharya:
Evolutionary Bi-objective Optimization and Knowledge Extraction for Electronic and Automotive Cooling. SEMCCO/FANCCO 2019: 79-92 - [c20]Palash Pal, Rituparna Datta, Deepak Rajbansi, Aviv Segev:
A Neural Net Based Prediction of Sound Pressure Level for the Design of the Aerofoil. SEMCCO/FANCCO 2019: 105-112 - 2017
- [j4]Anmol Pandey, Rituparna Datta, Bishakh Bhattacharya:
Topology optimization of compliant structures and mechanisms using constructive solid geometry for 2-d and 3-d applications. Soft Comput. 21(5): 1157-1179 (2017) - [c19]Rituparna Datta, Kalyanmoy Deb, Aviv Segev:
A bi-objective hybrid constrained optimization (HyCon) method using a multi-objective and penalty function approach. CEC 2017: 317-324 - [c18]Chihoon Jung, Rituparna Datta, Aviv Segev:
Multi-document summarization using evolutionary multi-objective optimization. GECCO (Companion) 2017: 31-32 - [p2]Maha Elarbi, Slim Bechikh, Lamjed Ben Said, Rituparna Datta:
Multi-objective Optimization: Classical and Evolutionary Approaches. Recent Advances in Evolutionary Multi-objective Optimization 2017: 1-30 - [p1]Arun Kumar Sharma, Rituparna Datta, Maha Elarbi, Bishakh Bhattacharya, Slim Bechikh:
Practical Applications in Constrained Evolutionary Multi-objective Optimization. Recent Advances in Evolutionary Multi-objective Optimization 2017: 159-179 - [e1]Slim Bechikh, Rituparna Datta, Abhishek Gupta:
Recent Advances in Evolutionary Multi-objective Optimization. Adaptation, Learning, and Optimization 20, Springer 2017, ISBN 978-3-319-42977-9 [contents] - 2016
- [j3]Rituparna Datta, Rommel G. Regis:
A surrogate-assisted evolution strategy for constrained multi-objective optimization. Expert Syst. Appl. 57: 270-284 (2016) - [j2]Rituparna Datta, Kalyanmoy Deb:
Uniform adaptive scaling of equality and inequality constraints within hybrid evolutionary-cum-classical optimization. Soft Comput. 20(6): 2367-2382 (2016) - [j1]Rituparna Datta, Shikhar Pradhan, Bishakh Bhattacharya:
Analysis and Design Optimization of a Robotic Gripper Using Multiobjective Genetic Algorithm. IEEE Trans. Syst. Man Cybern. Syst. 46(1): 16-26 (2016) - [c17]Özer Ciftcioglu, Michael S. Bittermann, Rituparna Datta:
Further note on the probabilistic constraint handling. CEC 2016: 3901-3908 - 2014
- [c16]Rituparna Datta, Shikhar Pradhan, Bishakh Bhattacharya:
Analysis of a seven link robot gripper with an integrated piezoelectric actuation system. ICARCV 2014: 1876-1881 - [c15]Si-Jung Ryu, Rituparna Datta, Jong-Hwan Kim:
Dual Multiobjective Quantum-Inspired Evolutionary Algorithm for a Sensor Arrangement in a 2D Environment. RiTA 2014: 57-66 - [c14]Ajinkya Jain, Rituparna Datta, Bishakh Bhattacharya:
Unified Minimalistic Modeling of Piezoelectric Stack Actuators for Engineering Applications. RiTA 2014: 459-473 - 2013
- [c13]Rituparna Datta, M. Fernanda P. Costa, Kalyanmoy Deb, António Gaspar-Cunha:
An evolutionary algorithm based pattern search approach for constrained optimization. IEEE Congress on Evolutionary Computation 2013: 1355-1362 - [c12]Rituparna Datta, Kalyanmoy Deb:
Individual penalty based constraint handling using a hybrid bi-objective and penalty function approach. IEEE Congress on Evolutionary Computation 2013: 2720-2727 - 2012
- [c11]Rituparna Datta, Michael S. Bittermann, Kalyanmoy Deb, Özer Ciftcioglu:
Probabilistic constraint handling in the framework of joint evolutionary-classical optimization with engineering applications. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c10]Rituparna Datta, Kalyanmoy Deb:
An adaptive normalization based constrained handling methodology with hybrid bi-objective and penalty function approach. IEEE Congress on Evolutionary Computation 2012: 1-8 - 2011
- [c9]Rituparna Datta, Kalyanmoy Deb:
A Bi-objective Based Hybrid Evolutionary-Classical Algorithm for Handling Equality Constraints. EMO 2011: 313-327 - [c8]Rituparna Datta, Kalyanmoy Deb:
Multi-objective design and analysis of robot gripper configurations using an evolutionary-classical approach. GECCO 2011: 1843-1850 - [c7]Anima Majumder, Rituparna Datta:
Fitness Function Evaluation of parallel transmitted tomographic image Reconstruction using Genetic Algorithms. IICAI 2011: 305-315 - 2010
- [c6]Rituparna Datta, Anima Majumder:
Optimization of turning process parameters using Multi-objective Evolutionary algorithm. IEEE Congress on Evolutionary Computation 2010: 1-6 - [c5]Kalyanmoy Deb, Rituparna Datta:
A fast and accurate solution of constrained optimization problems using a hybrid bi-objective and penalty function approach. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c4]Amit Saha, Rituparna Datta, Kalyanmoy Deb:
Hybrid gradient projection based Genetic Algorithms for constrained optimization. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c3]Rituparna Datta:
Constrained Engineering Design Optimization Using a Hybrid Bi-objective Evolutionary-Classical Methodology. SEAL 2010: 633-637
2000 – 2009
- 2009
- [c2]Rituparna Datta, Kalyanmoy Deb:
A Classical-cum-Evolutionary Multi-objective Optimization for Optimal Machining Parameters. NaBIC 2009: 607-612 - 2007
- [c1]Kalyanmoy Deb, Swanand Lele, Rituparna Datta:
A Hybrid Evolutionary Multi-objective and SQP Based Procedure for Constrained Optimization. ISICA 2007: 36-45
Coauthor Index
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