Multi-robot path-planning using artificial bee colony optimization algorithm. - Preetha Bhattacharjee; Pratyusha Rakshit; Indrani Goswami; Amit Konar; Atulya K. Nagar (NaBIC, 2011)

A recurrent fuzzy neural model of a gene regulatory network for knowledge extraction using Artificial Bee Colony optimization algorithm. - Papia Das; Pratyusha Rakshit; Amit Konar; Ramadoss Janarthanan (ReTIS, 2011)

Emotion Recognition from the Lip-Contour of a Subject Using Artificial Bee Colony Optimization Algorithm. - Anisha Halder; Pratyusha Rakshit; Aruna Chakraborty; Amit Konar; Ramadoss Janarthanan (SEMCCO (1), 2011)

Multi-Robot Box-Pushing Using Non-dominated Sorting Bee Colony Optimization Algorithm. - Pratyusha Rakshit; Arup Kumar Sadhu; Preetha Bhattacharjee; Amit Konar; Ramadoss Janarthanan (SEMCCO (1), 2011)

Multi-robot Box-Pushing Using Differential Evolution Algorithm for Multiobjective Optimization. - Pratyusha Rakshit; Arup Kumar Sadhu; Anisha Halder; Amit Konar; Ramadoss Janarthanan (SocProS (1), 2011)

Artificial Bee Colony Based Feature Selection for Motor Imagery EEG Data. - Pratyusha Rakshit; Saugat Bhattacharyya; Amit Konar; Anwesha Khasnobish; D. N. Tibarewala; Ramadoss Janarthanan (BIC-TA (2), 2012)

DE-TDQL: An adaptive memetic algorithm. - Pavel Bhowmik; Pratyusha Rakshit; Amit Konar; Eunjin Kim; Atulya K. Nagar (IEEE Congress on Evolutionary Computation, 2012)

A hybridisation of Improved Harmony Search and Bacterial Foraging for multi-robot motion planning. - Arindam Jati; Garima Singh; Pratyusha Rakshit; Amit Konar; Eunjin Kim; Atulya K. Nagar (IEEE Congress on Evolutionary Computation, 2012)

Reducing uncertainty in interval type-2 fuzzy sets for qualitative improvement in emotion recognition from facial expressions. - Anisha Halder; Pratyusha Rakshit; Sumantra Chakraborty; Amit Konar; Aruna Chakraborty; Eunjin Kim; Atulya K. Nagar (FUZZ-IEEE, 2012)

Evaluating the designing perspective of Protein-Protein Interaction network using evolutionary algorithm. - Pratyusha Rakshit; Archana Chowdhury; Amit Konar; Atulya K. Nagar (NaBIC, 2012)

A recurrent fuzzy neural model of a gene regulatory network for knowledge extraction using invasive weed and artificial bee colony optimization algorithm. - Pratyusha Rakshit; Papia Das; Amit Konar; Mita Nasipuri; Ramadoss Janarthanan (RAIT, 2012)

An Adaptive Memetic Algorithm for Multi-robot Path-Planning. - Pratyusha Rakshit; Dhrubojyoti Banerjee; Amit Konar; Ramadoss Janarthanan (SEMCCO, 2012)

Differential evolution with temporal difference Q-learning based feature selection for motor imagery EEG data. - Saugat Bhattacharyya; Pratyusha Rakshit; Amit Konar; D. N. Tibarewala; Swagatam Das; Atulya K. Nagar (CCMB, 2013)

Muti-objective evolutionary approach of ligand design for protein-ligand docking problem. - Pratyusha Rakshit; Amit Konar; Archana Chowdhury; Eunjin Kim; Atulya K. Nagar (IEEE Congress on Evolutionary Computation, 2013)

DEMO-TDQL: An adaptive multi-objective optimization algorithm. - Pratyusha Rakshit; Amit Konar; Eunjin Kim; Atulya K. Nagar (IEEE Congress on Evolutionary Computation, 2013)

Adaptive Firefly Algorithm for nonholonomic motion planning of car-like system. - Abhishek Ghosh Roy; Pratyusha Rakshit; Amit Konar; Samar Bhattacharya; Eunjin Kim; Atulya K. Nagar (IEEE Congress on Evolutionary Computation, 2013)

Secondary membership evaluation in Generalized Type-2 Fuzzy Sets by evolutionary optimization algorithm. - Pratyusha Rakshit; Aruna Chakraborty; Amit Konar; Atulya K. Nagar (FUZZ-IEEE, 2013)

ABC-TDQL: An adaptive memetic algorithm. - Pratyusha Rakshit; Amit Konar; Swagatam Das; Atulya K. Nagar (HIMA, 2013)

Olfaction recognition by EEG analysis using differential evolution induced Hopfield neural net. - Anuradha Saha; Amit Konar; Pratyusha Rakshit; Anca L. Ralescu; Atulya K. Nagar (IJCNN, 2013)

An Evolutionary Approach for Analysing the Effect of Interaction Site Structural Features on Protein- Protein Complex Formation. - Archana Chowdhury; Pratyusha Rakshit; Amit Konar; Ramadoss Janarthanan (PReMI, 2013)

Feature Selection of Motor Imagery EEG Signals Using Firefly Temporal Difference Q-Learning and Support Vector Machine. - Saugat Bhattacharyya; Pratyusha Rakshit; Amit Konar; D. N. Tibarewala; Ramadoss Janarthanan (SEMCCO (2), 2013)

Protein Function Prediction Using Adaptive Swarm Based Algorithm. - Archana Chowdhury; Amit Konar; Pratyusha Rakshit; Ramadoss Janarthanan (SEMCCO (2), 2013)

Realization of an Adaptive Memetic Algorithm Using Differential Evolution and Q-Learning: A Case Study in Multirobot Path Planning. - Pratyusha Rakshit; Amit Konar; Pavel Bhowmik; Indrani Goswami; Swagatam Das; Lakhmi C. Jain; Atulya K. Nagar (IEEE Trans. Syst. Man Cybern. Syst., 2013)

A modified bat algorithm to predict Protein-Protein Interaction network. - Archana Chowdhury; Pratyusha Rakshit; Amit Konar; Atulya K. Nagar (IEEE Congress on Evolutionary Computation, 2014)

Selecting the optimal EEG electrode positions for a cognitive task using an Artificial Bee Colony with Adaptive Scale Factor optimization algorithm. - Shreyasi Datta; Pratyusha Rakshit; Amit Konar; Atulya K. Nagar (IEEE Congress on Evolutionary Computation, 2014)

Artificial Bee Colony induced multi-objective optimization in presence of noise. - Pratyusha Rakshit; Amit Konar; Atulya K. Nagar (IEEE Congress on Evolutionary Computation, 2014)

Uncertainty Management in Differential Evolution Induced Multiobjective Optimization in Presence of Measurement Noise. - Pratyusha Rakshit; Amit Konar; Swagatam Das; Lakhmi C. Jain; Atulya K. Nagar (IEEE Trans. Syst. Man Cybern. Syst., 2014)

A multi-objective evolutionary approach to predict Protein-Protein Interaction network. - Archana Chowdhury; Pratyusha Rakshit; Amit Konar; Atulya K. Nagar (CEC, 2015)

Type-2 fuzzy induced non-dominated sorting bee colony for noisy optimization. - Pratyusha Rakshit; Amit Konar; Atulya K. Nagar (CEC, 2015)

Differential evolution for noisy multiobjective optimization. - Pratyusha Rakshit; Amit Konar (Artif. Intell., 2015)

Extending multi-objective differential evolution for optimization in presence of noise. - Pratyusha Rakshit; Amit Konar (Inf. Sci., 2015)

A meta-heuristic approach to predict protein-protein interaction network. - Archana Chowdhury; Pratyusha Rakshit; Amit Konar; Atulya K. Nagar (CEC, 2016)

Evolutionary approach for selection of optimal EEG electrode positions and features for classification of cognitive tasks. - Rimita Lahiri; Pratyusha Rakshit; Amit Konar; Atulya K. Nagar (CEC, 2016)

Multi-robot box-pushing in presence of measurement noise. - Pratyusha Rakshit; Amit Konar; Atulya K. Nagar (CEC, 2016)

Knowledge extraction from a time-series using segmentation, fuzzy matching and predictor graphs. - Jishnu Mukhoti; Pratyusha Rakshit; Diptendu Bhattacharya; Amit Konar; Atulya K. Nagar (FUZZ-IEEE, 2016)

Protein-protein interaction network prediction using stochastic learning automata induced differential evolution. - Archana Chowdhury; Pratyusha Rakshit; Amit Konar (Appl. Soft Comput., 2016)

A type-2 fuzzy classifier for gesture induced pathological disorder recognition. - Pratyusha Rakshit; Sriparna Saha 002; Amit Konar; Subhasish Saha (Fuzzy Sets Syst., 2016)

Prediction of protein-protein interaction network using a multi-objective optimization approach. - Archana Chowdhury; Pratyusha Rakshit; Amit Konar (J. Bioinform. Comput. Biol., 2016)

A modified Imperialist Competitive Algorithm for multi-robot stick-carrying application. - Arup Kumar Sadhu; Pratyusha Rakshit; Amit Konar (Robotics Auton. Syst., 2016)

Non-dominated Sorting Bee Colony optimization in the presence of noise. - Pratyusha Rakshit; Amit Konar (Soft Comput., 2016)

Differential evolution induced many objective optimization. - Pratyusha Rakshit; Archana Chowdhury; Amit Konar; Atulya K. Nagar (CEC, 2017)

Learning automata induced artificial bee colony for noisy optimization. - Pratyusha Rakshit; Amit Konar; Atulya K. Nagar (CEC, 2017)

EEG induced working memory performance analysis using inverse fuzzy relational approach. - Lidia Ghosh; Amit Konar; Pratyusha Rakshit; Anca L. Ralescu; Atulya K. Nagar (FUZZ-IEEE, 2017)

EEG analysis for short term memory modeling in visually explored shape recognition tasks. - Lidia Ghosh; Amit Konar; Pratyusha Rakshit; Anca L. Ralescu; Atulya K. Nagar (SSCI, 2017)

Evolutionary perspective for optimal selection of EEG electrodes and features. - Rimita Lahiri; Pratyusha Rakshit; Amit Konar (Biomed. Signal Process. Control., 2017)

Noisy evolutionary optimization algorithms - A comprehensive survey. - Pratyusha Rakshit; Amit Konar; Swagatam Das (Swarm Evol. Comput., 2017)

Principles in Noisy Optimization - Applied to Multi-agent Coordination - Pratyusha Rakshit; Amit Konar (Springer, 2018)

Evolutionary Approach to Straight Line Approximation for Image Matching in Dance-Posture Recognition. - Pratyusha Rakshit; Sriparna Saha 002; Amit Konar; Atulya K. Nagar (CEC, 2018)

P-300 and N-400 Induced Decoding of Learning-Skill of Driving Learners Using Type-2 Fuzzy Sets. - Lidia Ghosh; Amit Konar; Pratyusha Rakshit; Sricheta Parui; Anca L. Ralescu; Atulya K. Nagar (FUZZ-IEEE, 2018)

Hemodynamic Response Analysis for Mind-Driven Type-writing using a Type 2 Fuzzy Classifier. - Mousumi Laha; Amit Konar; Pratyusha Rakshit; Lidia Ghosh; Susmita Chaki; Anca L. Ralescu; Atulya K. Nagar (FUZZ-IEEE, 2018)

Prediction of Protein Complexes Using an Evolutionary Approach. - Archana Chowdhury; Pratyusha Rakshit; Amit Konar; Atulya K. Nagar (SSCI, 2018)

Decoding of EEG Signals Using Deep Long Short-Term Memory Network in Face Recognition Task. - Lidia Ghosh; Sayantani Ghosh; Amit Konar; Pratyusha Rakshit; Atulya K. Nagar (SSCI, 2018)

Understanding the Biological Underpinning of Auditory Perception for Vowel Sounds Using a Type-2 Fuzzy Neural Network. - Mousumi Laha; Amit Konar; Pratyusha Rakshit; Susmita Chaki; Atulya K. Nagar (SSCI, 2018)

EEG-Analysis for Classification of Touch-Induced Affection by Type-2 Fuzzy Sets. - Mousumi Laha; Amit Konar; Pratyusha Rakshit; Atulya K. Nagar (SSCI, 2018)

Multi-Robot Box-Pushing Using VIKOR Induced Particle Swarm optimization. - Shreya Shrestha Meel; Sayantan Adhikary; Pratyusha Rakshit; Amit Konar; Atulya K. Nagar (SSCI, 2018)

Self-Adaptive Sampling in Noisy Multi-objective Optimization. - Pratyusha Rakshit; Amit Konar; Atulya Nagar (SSCI, 2018)

Realization of learning induced self-adaptive sampling in noisy optimization. - Pratyusha Rakshit; Amit Konar (Appl. Soft Comput., 2018)

Ballet E-learning using fuzzy set induced posture recognition by piece-wise linear approximation of connected components. - Sriparna Saha 002; Pratyusha Rakshit; Amit Konar (Appl. Soft Comput., 2018)

Energy Optimized Robot Arm Path Planning using Differential Evolution in Dynamic Environment. - Sourya Dipta Das; Victor Bain; Pratyusha Rakshit (CoRR, 2018)

A Ranking Based Technique to Predict Protein Complexes. - Archana Chowdhury; Pratyusha Rakshit; Amit Konar; Atulya K. Nagar (CEC, 2019)

Modified Selection and Search in Learning Automata Based Artificial Bee Colony in Noisy Environment. - Pratyusha Rakshit; Amit Konar; Atulya K. Nagar (CEC, 2019)

Working memory modeling using inverse fuzzy relational approach. - Lidia Ghosh; Pratyusha Rakshit; Amit Konar (Appl. Soft Comput., 2019)

Uncertainty Management by Feature Space Tuning for Single-Trial P300 Detection. - Reshma Kar; Pratyusha Rakshit; Amit Konar; Aruna Chakraborty (Int. J. Fuzzy Syst., 2019)

Hemodynamic Analysis for Cognitive Load Assessment and Classification in Motor Learning Tasks Using Type-2 Fuzzy Sets. - Lidia Ghosh; Amit Konar; Pratyusha Rakshit; Atulya K. Nagar (IEEE Trans. Emerg. Top. Comput. Intell., 2019)

Migration in Multi-Population Differential Evolution for Many Objective Optimization. - Pratyusha Rakshit; Archana Chowdhury; Amit Konar; Atulya K. Nagar (CEC, 2020)

Q-Learning Induced Artificial Bee Colony for Noisy Optimization. - Pratyusha Rakshit; Amit Konar; Atulya K. Nagar (CEC, 2020)

Vowel Sound Imagery Decoding by a Capsule Network for the Design of an Automatic Mind-Driven Type-Writer. - Sayantani Ghosh; Mousumi Laha; Amit Konar; Pratyusha Rakshit; Atulya K. Nagar (IJCNN, 2020)

Memory based self-adaptive sampling for noisy multi-objective optimization. - Pratyusha Rakshit (Inf. Sci., 2020)

Improved differential evolution for noisy optimization. - Pratyusha Rakshit (Swarm Evol. Comput., 2020)

Exploration of Subjective Color Perceptual-Ability by EEG-Induced Type-2 Fuzzy Classifiers. - Mousumi Laha; Amit Konar; Pratyusha Rakshit; Atulya K. Nagar (IEEE Trans. Cogn. Dev. Syst., 2020)

Mimicking Short-Term Memory in Shape-Reconstruction Task Using an EEG-Induced Type-2 Fuzzy Deep Brain Learning Network. - Lidia Ghosh; Amit Konar; Pratyusha Rakshit; Atulya K. Nagar (IEEE Trans. Emerg. Top. Comput. Intell., 2020)

Modified Type-2 Fuzzy Gesture Space Induced Physical Disorder Recognition. - Sriparna Saha 002; Pratyusha Rakshit; Amit Konar (Computational Intelligence for Semantic Knowledge Management, 2020)

Hemodynamic Analysis for Olfactory Perceptual Degradation Assessment Using Generalized Type-2 Fuzzy Regression. - Mousumi Laha; Amit Konar; Pratyusha Rakshit; Atulya K. Nagar (IEEE Trans. Cogn. Dev. Syst., 2022)

EHR Innovations: Shedding Light on Anemia in the Healthcare Paradigm. - Souhardya Das; Proma Mondal; Shambhab Chaki; Pratyusha Rakshit; Archana Chowdhury (Adv. Artif. Intell. Mach. Learn., 2024)

Coevolutionary Optimization for Multi-UAV Path-Planning. - Mitali Sil; Pratyusha Rakshit; Sayan Chatterjee; Archana Chowdhury (CEC, 2025)