| Year |
Citation |
Score |
| 2023 |
Rajwar K, Deep K, Das S. An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges. Artificial Intelligence Review. 1-71. PMID 37362893 DOI: 10.1007/s10462-023-10470-y |
0.399 |
|
| 2022 |
Paul D, Chakraborty S, Das S, Xu J. Implicit Annealing in Kernel Spaces: A Strongly Consistent Clustering Approach. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 36282831 DOI: 10.1109/TPAMI.2022.3217137 |
0.389 |
|
| 2022 |
Chakraborty S, Paul D, Das S. On Consistent Entropy-Regularized k-Means Clustering With Feature Weight Learning: Algorithm and Statistical Analyses. Ieee Transactions On Cybernetics. PMID 35609103 DOI: 10.1109/TCYB.2022.3166975 |
0.336 |
|
| 2021 |
Kumar A, Das S, Kong L, Snasel V. Self-Adaptive Spherical Search With a Low-Precision Projection Matrix for Real-World Optimization. Ieee Transactions On Cybernetics. PMID 34890345 DOI: 10.1109/TCYB.2021.3119386 |
0.499 |
|
| 2021 |
Kumar A, Das S, Misra RK, Singh D. A υ-Constrained Matrix Adaptation Evolution Strategy With Broyden-Based Mutation for Constrained Optimization. Ieee Transactions On Cybernetics. PMID 33635803 DOI: 10.1109/TCYB.2020.3042853 |
0.507 |
|
| 2020 |
Chakraborty S, Das S. Detecting Meaningful Clusters from High-dimensional Data: A Strongly Consistent Sparse Center-based Clustering Approach. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 33360985 DOI: 10.1109/TPAMI.2020.3047489 |
0.303 |
|
| 2020 |
Kumar A, Das S, Mallipeddi R. A Reference Vector-Based Simplified Covariance Matrix Adaptation Evolution Strategy for Constrained Global Optimization. Ieee Transactions On Cybernetics. PMID 32936757 DOI: 10.1109/TCYB.2020.3013950 |
0.465 |
|
| 2020 |
Datta S, Nag S, Das S. Boosting with Lexicographic Programming: Addressing Class Imbalance without Cost Tuning Ieee Transactions On Knowledge and Data Engineering. 32: 883-897. DOI: 10.1109/Tkde.2019.2894148 |
0.337 |
|
| 2020 |
Kumar A, Wu G, Ali MZ, Mallipeddi R, Suganthan PN, Das S. A test-suite of non-convex constrained optimization problems from the real-world and some baseline results Swarm and Evolutionary Computation. 56: 100693. DOI: 10.1016/J.Swevo.2020.100693 |
0.477 |
|
| 2020 |
Chakraborty S, Paul D, Das S. Hierarchical clustering with optimal transport Statistics & Probability Letters. 163: 108781. DOI: 10.1016/J.Spl.2020.108781 |
0.462 |
|
| 2020 |
Darwish A, Hassanien AE, Das S. A survey of swarm and evolutionary computing approaches for deep learning Artificial Intelligence Review. 53: 1767-1812. DOI: 10.1007/S10462-019-09719-2 |
0.397 |
|
| 2019 |
Ghosh A, Das S, Das AK, Gao L. Reusing the Past Difference Vectors in Differential Evolution--A Simple But Significant Improvement. Ieee Transactions On Cybernetics. PMID 31265425 DOI: 10.1109/Tcyb.2019.2921602 |
0.512 |
|
| 2019 |
Gupta A, Datta S, Das S. Fuzzy Clustering to Identify Clusters at Different Levels of Fuzziness: An Evolutionary Multiobjective Optimization Approach. Ieee Transactions On Cybernetics. PMID 30998486 DOI: 10.1109/Tcyb.2019.2907002 |
0.389 |
|
| 2019 |
Banerjee I, Mullick SS, Das S. On Convergence of the Class Membership Estimator in Fuzzy $k$-Nearest Neighbor Classifier Ieee Transactions On Fuzzy Systems. 27: 1226-1236. DOI: 10.1109/Tfuzz.2018.2874017 |
0.301 |
|
| 2019 |
Ser JD, Osaba E, Molina D, Yang X, Salcedo-Sanz S, Camacho D, Das S, Suganthan PN, Coello CAC, Herrera F. Bio-inspired computation: Where we stand and what's next Swarm and Evolutionary Computation. 48: 220-250. DOI: 10.1016/J.Swevo.2019.04.008 |
0.374 |
|
| 2019 |
Peng K, Pan Q, Gao L, Li X, Das S, Zhang B. A multi-start variable neighbourhood descent algorithm for hybrid flowshop rescheduling Swarm and Evolutionary Computation. 45: 92-112. DOI: 10.1016/J.Swevo.2019.01.002 |
0.517 |
|
| 2019 |
Sanyal D, Das S. On semi-supervised active clustering of stable instances with oracles Information Processing Letters. 151: 105833. DOI: 10.1016/J.Ipl.2019.105833 |
0.483 |
|
| 2019 |
Saxena A, Kumar R, Das S. β-Chaotic map enabled Grey Wolf Optimizer Applied Soft Computing. 75: 84-105. DOI: 10.1016/J.Asoc.2018.10.044 |
0.509 |
|
| 2018 |
Saha A, Das S. Stronger Convergence Results for the Center-Based Fuzzy Clustering With Convex Divergence Measure. Ieee Transactions On Cybernetics. PMID 30137019 DOI: 10.1109/Tcyb.2018.2861211 |
0.42 |
|
| 2018 |
Mullick SS, Datta S, Das S. Adaptive Learning-Based k-Nearest Neighbor Classifiers With Resilience to Class Imbalance. Ieee Transactions On Neural Networks and Learning Systems. PMID 29993560 DOI: 10.1109/Tnnls.2018.2812279 |
0.388 |
|
| 2018 |
Sadhu AK, Konar A, Bhattacharjee T, Das S. Synergism of Firefly Algorithm and Q-Learning for Robot Arm Path Planning Swarm and Evolutionary Computation. 43: 50-68. DOI: 10.1016/J.Swevo.2018.03.014 |
0.478 |
|
| 2018 |
Chakraborty S, Das S. Simultaneous variable weighting and determining the number of clusters—A weighted Gaussian means algorithm Statistics & Probability Letters. 137: 148-156. DOI: 10.1016/J.Spl.2018.01.015 |
0.463 |
|
| 2018 |
Gupta A, Datta S, Das S. Fast automatic estimation of the number of clusters from the minimum inter-center distance for k-means clustering Pattern Recognition Letters. 116: 72-79. DOI: 10.1016/J.Patrec.2018.09.003 |
0.305 |
|
| 2018 |
Biswas N, Chakraborty S, Mullick SS, Das S. A parameter independent fuzzy weighted k-Nearest neighbor classifier Pattern Recognition Letters. 101: 80-87. DOI: 10.1016/J.Patrec.2017.11.003 |
0.388 |
|
| 2018 |
Datta S, Bhattacharjee S, Das S. Clustering with missing features: a penalized dissimilarity measure based approach Machine Learning. 107: 1987-2025. DOI: 10.1007/S10994-018-5722-4 |
0.43 |
|
| 2017 |
Gosh A, Das S, Mallipeddi R, Das AK, Dash SS. A Modified Differential Evolution With Distance-based Selection for Continuous Optimization in Presence of Noise Ieee Access. 5: 26944-26964. DOI: 10.1109/Access.2017.2773825 |
0.528 |
|
| 2017 |
Sharma A, Kumar R, Panigrahi B, Das S. Termite spatial correlation based particle swarm optimization for unconstrained optimization Swarm and Evolutionary Computation. 33: 93-107. DOI: 10.1016/J.Swevo.2016.11.001 |
0.572 |
|
| 2017 |
Rakshit P, Konar A, Das S. Noisy evolutionary optimization algorithms – A comprehensive survey Swarm and Evolutionary Computation. 33: 18-45. DOI: 10.1016/J.Swevo.2016.09.002 |
0.563 |
|
| 2017 |
Rajasekhar A, Lynn N, Das S, Suganthan PN. Computing with the collective intelligence of honey bees – A survey Swarm and Evolutionary Computation. 32: 25-48. DOI: 10.1016/J.Swevo.2016.06.001 |
0.513 |
|
| 2017 |
Chakraborty S, Das S. k−Means clustering with a new divergence-based distance metric: Convergence and performance analysis Pattern Recognition Letters. 100: 67-73. DOI: 10.1016/J.Patrec.2017.09.025 |
0.409 |
|
| 2017 |
Datta S, Mullick SS, Das S. Generalized mean based back-propagation of errors for ambiguity resolution Pattern Recognition Letters. 94: 22-29. DOI: 10.1016/J.Patrec.2017.04.019 |
0.416 |
|
| 2017 |
Das A, Das S. Feature weighting and selection with a Pareto-optimal trade-off between relevancy and redundancy Pattern Recognition Letters. 88: 12-19. DOI: 10.1016/J.Patrec.2017.01.004 |
0.484 |
|
| 2017 |
Saha A, Das S. Axiomatic generalization of the membership degree weighting function for fuzzy C means clustering Information Sciences. 408: 129-145. DOI: 10.1016/J.Ins.2017.03.024 |
0.461 |
|
| 2017 |
Jana ND, Sil J, Das S. Selection of appropriate metaheuristic algorithms for protein structure prediction in AB off-lattice model Information Sciences. 391: 28-64. DOI: 10.1016/J.Ins.2017.01.020 |
0.483 |
|
| 2017 |
Datta S, Ghosh A, Sanyal K, Das S. A Radial Boundary Intersection aided interior point method for multi-objective optimization Information Sciences. 377: 1-16. DOI: 10.1016/J.Ins.2016.09.062 |
0.521 |
|
| 2017 |
Saha A, Das S. Clustering of fuzzy data and simultaneous feature selection: A model selection approach Fuzzy Sets and Systems. 340: 1-37. DOI: 10.1016/J.Fss.2017.11.015 |
0.43 |
|
| 2017 |
Saha A, Das S. On the unification of possibilistic fuzzy clustering: Axiomatic development and convergence analysis Fuzzy Sets and Systems. 340: 73-90. DOI: 10.1016/J.Fss.2017.07.005 |
0.396 |
|
| 2017 |
Ghosh A, Das S, Mullick SS, Mallipeddi R, Das AK. A switched parameter differential evolution with optional blending crossover for scalable numerical optimization Applied Soft Computing. 57: 329-352. DOI: 10.1016/J.Asoc.2017.03.003 |
0.502 |
|
| 2017 |
Sarkar S, Das S, Chaudhuri SS. Multi-level thresholding with a decomposition-based multi-objective evolutionary algorithm for segmenting natural and medical images Applied Soft Computing. 50: 142-157. DOI: 10.1016/J.Asoc.2016.10.032 |
0.478 |
|
| 2017 |
Saha A, Das S. Feature-weighted clustering with inner product induced norm based dissimilarity measures: an optimization perspective Machine Learning. 106: 951-992. DOI: 10.1007/S10994-016-5623-3 |
0.436 |
|
| 2016 |
Das S, Mullick SS, Suganthan PN. Recent advances in differential evolution-An updated survey Swarm and Evolutionary Computation. 27: 1-30. DOI: 10.1016/J.Swevo.2016.01.004 |
0.498 |
|
| 2016 |
Datta S, Misra D, Das S. A feature weighted penalty based dissimilarity measure for k-nearest neighbor classification with missing features Pattern Recognition Letters. 80: 231-237. DOI: 10.1016/J.Patrec.2016.06.023 |
0.378 |
|
| 2016 |
Saha A, Das S. Geometric divergence based fuzzy clustering with strong resilience to noise features Pattern Recognition Letters. 79: 60-67. DOI: 10.1016/J.Patrec.2016.04.013 |
0.41 |
|
| 2016 |
Das P, Behera H, Das S, Tripathy H, Panigrahi B, Pradhan S. A hybrid improved PSO-DV algorithm for multi-robot path planning in a clutter environment Neurocomputing. 207: 735-753. DOI: 10.1016/J.Neucom.2016.05.057 |
0.415 |
|
| 2016 |
Saha A, Das S. Optimizing cluster structures with inner product induced norm based dissimilarity measures: Theoretical development and convergence analysis Information Sciences. 372: 796-814. DOI: 10.1016/J.Ins.2016.08.058 |
0.526 |
|
| 2016 |
Kiran D, Panigrahi BK, Das S, Kumar N. Linkage based deferred acceptance optimization Information Sciences. 349: 65-76. DOI: 10.1016/J.Ins.2016.02.006 |
0.765 |
|
| 2016 |
Sarkar S, Das S, Chaudhuri SS. Hyper-spectral image segmentation using Rényi entropy based multi-level thresholding aided with differential evolution Expert Systems With Applications. 50: 120-129. DOI: 10.1016/J.Eswa.2015.11.016 |
0.459 |
|
| 2016 |
Mukherjee R, Debchoudhury S, Das S. Modified Differential Evolution with Locality induced Genetic Operators for dynamic optimization European Journal of Operational Research. 253: 337-355. DOI: 10.1016/J.Ejor.2016.02.042 |
0.499 |
|
| 2015 |
Datta S, Das S. Near-Bayesian Support Vector Machines for imbalanced data classification with equal or unequal misclassification costs. Neural Networks : the Official Journal of the International Neural Network Society. 70: 39-52. PMID 26210983 DOI: 10.1016/J.Neunet.2015.06.005 |
0.436 |
|
| 2015 |
Biswas S, Kundu S, Das S. Inducing Niching Behavior in Differential Evolution Through Local Information Sharing Ieee Transactions On Evolutionary Computation. 19: 246-263. DOI: 10.1109/Tevc.2014.2313659 |
0.576 |
|
| 2015 |
Paul S, Das S. Simultaneous feature selection and weighting - An evolutionary multi-objective optimization approach Pattern Recognition Letters. 65: 51-59. DOI: 10.1016/J.Patrec.2015.07.007 |
0.46 |
|
| 2015 |
Saha A, Das S. Automated feature weighting in clustering with separable distances and inner product induced norms - A theoretical generalization Pattern Recognition Letters. 63: 50-58. DOI: 10.1016/J.Patrec.2015.06.001 |
0.478 |
|
| 2015 |
Sarkar S, Das S, Chaudhuri SS. A multilevel color image thresholding scheme based on minimum cross entropy and differential evolution Pattern Recognition Letters. 54: 27-35. DOI: 10.1016/J.Patrec.2014.11.009 |
0.471 |
|
| 2015 |
Saha A, Das S. Categorical fuzzy k-modes clustering with automated feature weight learning Neurocomputing. 166: 422-435. DOI: 10.1016/J.Neucom.2015.03.037 |
0.421 |
|
| 2015 |
Chatterjee S, Das S. Ant colony optimization based enhanced dynamic source routing algorithm for mobile Ad-hoc network Information Sciences. 295: 67-90. DOI: 10.1016/J.Ins.2014.09.039 |
0.325 |
|
| 2015 |
Dasgupta P, Das S. A discrete inter-species cuckoo search for flowshop scheduling problems Computers and Operations Research. 60: 111-120. DOI: 10.1016/J.Cor.2015.01.005 |
0.447 |
|
| 2015 |
Das S. Chaotic patterns in the discrete-time dynamics of social foraging swarms with attractant–repellent profiles: an analysis Nonlinear Dynamics. DOI: 10.1007/S11071-015-2247-2 |
0.323 |
|
| 2014 |
Saha C, Das S, Pal K, Mukherjee S. A Fuzzy Rule-Based Penalty Function Approach for Constrained Evolutionary Optimization. Ieee Transactions On Cybernetics. PMID 25312974 DOI: 10.1109/Tcyb.2014.2359985 |
0.497 |
|
| 2014 |
Das S, Biswas S, Panigrahi BK, Kundu S, Basu D. A spatially informative optic flow model of bee colony with saccadic flight strategy for global optimization. Ieee Transactions On Cybernetics. 44: 1884-97. PMID 25222729 DOI: 10.1109/Tcyb.2014.2298916 |
0.449 |
|
| 2014 |
Biswas S, Kundu S, Das S. An improved parent-centric mutation with normalized neighborhoods for inducing niching behavior in differential evolution. Ieee Transactions On Cybernetics. 44: 1726-37. PMID 25222717 DOI: 10.1109/Tcyb.2013.2292971 |
0.541 |
|
| 2014 |
Das S, Mandal A, Mukherjee R. An adaptive differential evolution algorithm for global optimization in dynamic environments. Ieee Transactions On Cybernetics. 44: 966-78. PMID 23996590 DOI: 10.1109/Tcyb.2013.2278188 |
0.525 |
|
| 2014 |
Medina MA, Ramirez JM, Coello CA, Das S. Use of a multi-objective teaching-learning algorithm for reduction of power losses in a power test system Dyna. 81: 196-203. DOI: 10.15446/Dyna.V81N185.38309 |
0.487 |
|
| 2014 |
Das S, Mukherjee S, Majumdar B, Pipplai A. Notice of Violation of IEEE Publication Principles A Gravitational Search based Fuzzy Approach for Edge Detection in Colour And Grayscale Images Ieee Transactions On Fuzzy Systems. 1-1. DOI: 10.1109/Tfuzz.2013.2286418 |
0.421 |
|
| 2014 |
Kundu R, Das S, Mukherjee R, Debchoudhury S. An improved particle swarm optimizer with difference mean based perturbation Neurocomputing. 129: 315-333. DOI: 10.1016/J.Neucom.2013.09.026 |
0.565 |
|
| 2014 |
Singh M, Panigrahi BK, Abhyankar AR, Das S. Optimal coordination of directional over-current relays using informative differential evolution algorithm Journal of Computational Science. 5: 269-276. DOI: 10.1016/J.Jocs.2013.05.010 |
0.556 |
|
| 2014 |
Chatterjee S, Goswami D, Mukherjee S, Das S. Behavioral analysis of the leader particle during stagnation in a particle swarm optimization algorithm Information Sciences. 279: 18-36. DOI: 10.1016/J.Ins.2014.03.098 |
0.445 |
|
| 2014 |
Mukherjee R, Patra GR, Kundu R, Das S. Cluster-based differential evolution with Crowding Archive for niching in dynamic environments Information Sciences. 267: 58-82. DOI: 10.1016/J.Ins.2013.11.025 |
0.549 |
|
| 2014 |
Medina MA, Das S, Coello Coello CA, Ramírez JM. Decomposition-based modern metaheuristic algorithms for multi-objective optimal power flow - A comparative study Engineering Applications of Artificial Intelligence. 32: 10-20. DOI: 10.1016/J.Engappai.2014.01.016 |
0.586 |
|
| 2014 |
Das S, Goswami D, Chatterjee S, Mukherjee S. Stability and chaos analysis of a novel swarm dynamics with applications to multi-agent systems Engineering Applications of Artificial Intelligence. 30: 189-198. DOI: 10.1016/J.Engappai.2013.12.014 |
0.318 |
|
| 2014 |
Biswas S, Das S, Debchoudhury S, Kundu S. Co-evolving bee colonies by forager migration: A multi-swarm based Artificial Bee Colony algorithm for global search space Applied Mathematics and Computation. 232: 216-234. DOI: 10.1016/J.Amc.2013.12.023 |
0.56 |
|
| 2013 |
Sarkar S, Das S. Multilevel image thresholding based on 2D histogram and maximum Tsallis entropy--a differential evolution approach. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 22: 4788-97. PMID 23955760 DOI: 10.1109/Tip.2013.2277832 |
0.454 |
|
| 2013 |
Halder U, Das S, Maity D. A cluster-based differential evolution algorithm with external archive for optimization in dynamic environments Ieee Transactions On Cybernetics. 43: 881-897. PMID 23096074 DOI: 10.1109/Tsmcb.2012.2217491 |
0.513 |
|
| 2013 |
Biswas S, Bose D, Das S, Kundu S. Decomposition-Based Evolutionary Multi-Objective Optimization Approach to the Design of Concentric Circular Antenna Arrays Progress in Electromagnetics Research B. 52: 185-205. DOI: 10.2528/Pierb13030709 |
0.453 |
|
| 2013 |
Chowdhury A, Ghosh A, Sinha S, Das S, Ghosh A. A novel genetic algorithm to solve travelling salesman problem and blocking flow shop scheduling problem International Journal of Bio-Inspired Computation. 5: 303. DOI: 10.1504/Ijbic.2013.057172 |
0.487 |
|
| 2013 |
Basak A, Das S, Tan KC. Multimodal optimization using a biobjective differential evolution algorithm enhanced with mean distance-based selection Ieee Transactions On Evolutionary Computation. 17: 666-685. DOI: 10.1109/Tevc.2012.2231685 |
0.602 |
|
| 2013 |
Qu BY, Suganthan PN, Das S. A Distance-Based Locally Informed Particle Swarm Model for Multimodal Optimization Ieee Transactions On Evolutionary Computation. 17: 387-402. DOI: 10.1109/Tevc.2012.2203138 |
0.55 |
|
| 2013 |
Roy S, Islam SM, Das S, Ghosh S, Vasilakos AV. A simulated weed colony system with subregional differential evolution for multimodal optimization Engineering Optimization. 45: 459-481. DOI: 10.1080/0305215X.2012.678494 |
0.599 |
|
| 2013 |
Das S, Mallipeddi R, Maity D. Adaptive evolutionary programming with p-best mutation strategy Swarm and Evolutionary Computation. 9: 58-68. DOI: 10.1016/J.Swevo.2012.11.002 |
0.353 |
|
| 2013 |
Sengupta S, Das S, Nasir M, Panigrahi B. Multi-objective node deployment in WSNs: In search of an optimal trade-off among coverage, lifetime, energy consumption, and connectivity Engineering Applications of Artificial Intelligence. 26: 405-416. DOI: 10.1016/J.Engappai.2012.05.018 |
0.429 |
|
| 2013 |
Das S, Biswas S, Kundu S. Synergizing fitness learning with proximity-based food source selection in artificial bee colony algorithm for numerical optimization Applied Soft Computing. 13: 4676-4694. DOI: 10.1016/J.Asoc.2013.07.009 |
0.561 |
|
| 2013 |
Roy S, Islam SM, Das S, Ghosh S. Multimodal optimization by artificial weed colonies enhanced with localized group search optimizers Applied Soft Computing. 13: 27-46. DOI: 10.1016/J.Asoc.2012.08.038 |
0.581 |
|
| 2013 |
Basak A, Maity D, Das S. A differential invasive weed optimization algorithm for improved global numerical optimization Applied Mathematics and Computation. 219: 6645-6668. DOI: 10.1016/J.Amc.2012.12.057 |
0.596 |
|
| 2013 |
Ganguly S, Chowdhury A, Mukherjee S, Suganthan PN, Das S, Chua TJ. A Hybrid Discrete Differential Evolution Algorithm for Economic Lot Scheduling Problem with Time Variant Lot Sizing Soft Computing. 1-12. DOI: 10.1007/978-3-642-32922-7_1 |
0.458 |
|
| 2012 |
Islam SM, Das S, Ghosh S, Roy S, Suganthan PN. An adaptive differential evolution algorithm with novel mutation and crossover strategies for global numerical optimization. Ieee Transactions On Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the Ieee Systems, Man, and Cybernetics Society. 42: 482-500. PMID 22010153 DOI: 10.1109/TSMCB.2011.2167966 |
0.322 |
|
| 2012 |
Ghosh S, Das S, Vasilakos AV, Suresh K. On convergence of differential evolution over a class of continuous functions with unique global optimum. Ieee Transactions On Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the Ieee Systems, Man, and Cybernetics Society. 42: 107-24. PMID 21791412 DOI: 10.1109/TSMCB.2011.2160625 |
0.391 |
|
| 2012 |
Mandal A, Das S. Design of Dual Pattern Concentric Ring Array Antenna Using Differential Evolution Algorithm with Novel Evolutionary Operators Progress in Electromagnetics Research M. 22: 163-178. DOI: 10.2528/Pierm11110708 |
0.444 |
|
| 2012 |
Ghosh P, Banerjee J, Das S, Chaudhuri SS. Design of Non-Uniform Circular Antenna Arrays --- an Evolutionary Algorithm Based Approach Progress in Electromagnetics Research B. 43: 333-354. DOI: 10.2528/Pierb12051808 |
0.554 |
|
| 2012 |
Maity D, Halder U, Das S. An Informative Differential Evolution Algorithm with Self Adaptive Re-Clustering Technique for the Optimization of Phased Antenna Array Progress in Electromagnetics Research B. 40: 361-380. DOI: 10.2528/Pierb12020106 |
0.528 |
|
| 2012 |
Mandal A, Zafar H, Das S, Vasilakos AV. Efficient Circular Array Synthesis With A Memetic Differential Evolution Algorithm Progress in Electromagnetics Research B. 38: 367-385. DOI: 10.2528/Pierb11111802 |
0.494 |
|
| 2012 |
Mandal A, Zafar H, Das S, Vasilakos AV. A Modified Differential Evolution Algorithm for Shaped Beam Linear Array Antenna Design Progress in Electromagnetics Research-Pier. 125: 439-457. DOI: 10.2528/Pier11112408 |
0.453 |
|
| 2012 |
Chowdhury A, Das S. Automatic shape independent clustering inspired by ant dynamics Swarm and Evolutionary Computation. 3: 33-45. DOI: 10.1016/J.Swevo.2011.11.001 |
0.437 |
|
| 2012 |
Nasir, Das S, Maity D, Sengupta S, Halder U, Suganthan PN. A dynamic neighborhood learning based particle swarm optimizer for global numerical optimization Information Sciences. 209: 16-36. DOI: 10.1016/J.Ins.2012.04.028 |
0.431 |
|
| 2012 |
Ghosh S, Das S, Roy S, Islam SKM, Suganthan PN. A Differential Covariance Matrix Adaptation Evolutionary Algorithm for real parameter optimization Information Sciences. 182: 199-219. DOI: 10.1016/J.Ins.2011.08.014 |
0.589 |
|
| 2012 |
Ghosh S, Das S, Kundu D, Suresh K, Abraham A. Inter-particle communication and search-dynamics of lbest particle swarm optimizers: An analysis Information Sciences. 182: 156-168. DOI: 10.1016/J.Ins.2010.10.015 |
0.403 |
|
| 2011 |
Das S, Mukhopadhyay A, Roy A, Abraham A, Panigrahi BK. Exploratory power of the harmony search algorithm: analysis and improvements for global numerical optimization. Ieee Transactions On Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the Ieee Systems, Man, and Cybernetics Society. 41: 89-106. PMID 20423806 DOI: 10.1109/TSMCB.2010.2046035 |
0.472 |
|
| 2011 |
Ghosh P, Das S. Synthesis of Thinned Planar Concentric Circular Antenna Arrays --- a Differential Evolutionary Approach Progress in Electromagnetics Research B. 29: 63-82. DOI: 10.2528/Pierb11020204 |
0.349 |
|
| 2011 |
Pal S, Basak A, Das S. Linear antenna array synthesis with modified invasive weed optimisation algorithm International Journal of Bio-Inspired Computation. 3: 238-251. DOI: 10.1504/Ijbic.2011.041147 |
0.489 |
|
| 2011 |
Panigrahi B, Pandi VR, Das S, Cui Z, Sharma R. Economic load dispatch using population-variance harmony search algorithm Transactions of the Institute of Measurement and Control. 34: 746-754. DOI: 10.1177/0142331211402911 |
0.55 |
|
| 2011 |
Das S, Suganthan PN. Differential Evolution: A Survey of the State-of-the-Art Ieee Transactions On Evolutionary Computation. 15: 4-31. DOI: 10.1109/Tevc.2010.2059031 |
0.507 |
|
| 2011 |
Roy GG, Das S, Chakraborty P, Suganthan PN. Design of Non-Uniform Circular Antenna Arrays Using a Modified Invasive Weed Optimization Algorithm Ieee Transactions On Antennas and Propagation. 59: 110-118. DOI: 10.1109/Tap.2010.2090477 |
0.545 |
|
| 2011 |
Pandi VR, Panigrahi BK, Bansal RC, Das S, Mohapatra A. Economic Load Dispatch Using Hybrid Swarm Intelligence Based Harmony Search Algorithm Electric Power Components and Systems. 39: 751-767. DOI: 10.1080/15325008.2010.541411 |
0.563 |
|
| 2011 |
Das S, Maity S, Qu B, Suganthan PN. Real-parameter evolutionary multimodal optimization — A survey of the state-of-the-art Swarm and Evolutionary Computation. 1: 71-88. DOI: 10.1016/J.Swevo.2011.05.005 |
0.498 |
|
| 2011 |
Chakraborty P, Das S, Roy GG, Abraham A. Erratum to On convergence of the multi-objective particle swarm optimizers [Inform. Sci. 181 (2011) 1411-1425] Information Sciences. 181: 3533. DOI: 10.1016/J.Ins.2011.04.009 |
0.397 |
|
| 2011 |
Ghosh A, Das S, Chowdhury A, Giri R. An improved differential evolution algorithm with fitness-based adaptation of the control parameters Information Sciences. 181: 3749-3765. DOI: 10.1016/J.Ins.2011.03.010 |
0.464 |
|
| 2011 |
Chakraborty P, Das S, Roy GG, Abraham A. On convergence of the multi-objective particle swarm optimizers Information Sciences. 181: 1411-1425. DOI: 10.1016/J.Ins.2010.11.036 |
0.57 |
|
| 2011 |
Kundu D, Suresh K, Ghosh S, Das S, Panigrahi B, Das S. Multi-objective optimization with artificial weed colonies Information Sciences. 181: 2441-2454. DOI: 10.1016/J.Ins.2010.09.026 |
0.587 |
|
| 2011 |
Ghosh A, Das S, Chowdhury A, Giri R. An ecologically inspired direct search method for solving optimal control problems with Bézier parameterization Engineering Applications of Artificial Intelligence. 24: 1195-1203. DOI: 10.1016/J.Engappai.2011.04.005 |
0.471 |
|
| 2011 |
Panigrahi B, Pandi VR, Sharma R, Das S, Das S. Multiobjective bacteria foraging algorithm for electrical load dispatch problem Energy Conversion and Management. 52: 1334-1342. DOI: 10.1016/J.Enconman.2010.09.031 |
0.515 |
|
| 2010 |
Chowdhury A, Ghosh A, Giri R, Das S. Optimization of antenna configuration with a fitness-adaptive differential evolution algorithm Progress in Electromagnetics Research B. 291-319. DOI: 10.2528/Pierb10080703 |
0.5 |
|
| 2010 |
Pal S, Das S, Basak A. Design of Time-Modulated Linear Arrays with a Multi-Objective Optimization Approach Progress in Electromagnetics Research B. 23: 83-107. DOI: 10.2528/Pierb10052401 |
0.487 |
|
| 2010 |
Samal NR, Konar A, Das S, Nagar AK. Parameter selection of a Particle Swarm Optimisation dynamics by closed loop stability analysis International Journal of Computing. 3: 245-274. DOI: 10.1504/Ijcsm.2010.037447 |
0.384 |
|
| 2010 |
Roy GG, Chakraborty P, Das S. Designing fractional-order PI λ D μ controller using differential harmony search algorithm International Journal of Bio-Inspired Computation. 2: 303-309. DOI: 10.1504/Ijbic.2010.036156 |
0.45 |
|
| 2010 |
Pandi VR, Panigrahi B, Das S, Cui Z. Dynamic economic load dispatch with wind energy using modified harmony search International Journal of Bio-Inspired Computation. 2: 282. DOI: 10.1504/Ijbic.2010.033096 |
0.309 |
|
| 2010 |
Biswas A, Das S, Abraham A, Dasgupta S. Stability analysis of the reproduction operator in bacterial foraging optimization Theoretical Computer Science. 411: 2127-2139. DOI: 10.1016/J.Tcs.2010.03.005 |
0.485 |
|
| 2010 |
Das S, Sil S. Kernel-induced fuzzy clustering of image pixels with an improved differential evolution algorithm Information Sciences. 180: 1237-1256. DOI: 10.1016/J.Ins.2009.11.041 |
0.472 |
|
| 2010 |
Panigrahi B, Ravikumar Pandi V, Das S, Das S. Multiobjective fuzzy dominance based bacterial foraging algorithm to solve economic emission dispatch problem Energy. 35: 4761-4770. DOI: 10.1016/J.Energy.2010.09.014 |
0.539 |
|
| 2010 |
Biswas A, Das S, Abraham A, Dasgupta S. Analysis of the reproduction operator in an artificial bacterial foraging system Applied Mathematics and Computation. 215: 3343-3355. DOI: 10.1016/J.Amc.2009.10.023 |
0.482 |
|
| 2010 |
Ghosh S, Das S, Kundu D, Suresh K, Panigrahi BK, Cui Z. An inertia-adaptive particle swarm system with particle mobility factor for improved global optimization Neural Computing and Applications. 21: 237-250. DOI: 10.1007/S00521-010-0356-X |
0.514 |
|
| 2009 |
Suresh K, Kundu D, Ghosh S, Das S, Abraham A, Han SY. Multi-objective differential evolution for automatic clustering with application to micro-array data analysis. Sensors (Basel, Switzerland). 9: 3981-4004. PMID 22412346 DOI: 10.3390/S90503981 |
0.494 |
|
| 2009 |
Bhattacharya S, Konar A, Das S, Han SY. A lyapunov-based extension to particle swarm dynamics for continuous function optimization. Sensors (Basel, Switzerland). 9: 9977-97. PMID 22303158 DOI: 10.3390/S91209977 |
0.407 |
|
| 2009 |
Suresh K, Kundu D, Ghosh S, Das S, Abraham A. Data Clustering Using Multi-objective Differential Evolution Algorithms Fundamenta Informaticae. 97: 381-403. DOI: 10.3233/Fi-2009-208 |
0.487 |
|
| 2009 |
Chakraborty P, Roy GG, Das S, Jain D, Abraham A. An Improved Harmony Search Algorithm with Differential Mutation Operator Fundamenta Informaticae. 95: 401-426. DOI: 10.3233/Fi-2009-157 |
0.534 |
|
| 2009 |
Dasgupta S, Das S, Biswas A, Abraham A. On stability and convergence of the population-dynamics in differential evolution Ai Communications. 22: 1-20. DOI: 10.3233/Aic-2009-0440 |
0.509 |
|
| 2009 |
Dasgupta S, Das S, Abraham A, Biswas A. Adaptive Computational Chemotaxis in Bacterial Foraging Optimization: An Analysis Ieee Transactions On Evolutionary Computation. 13: 919-941. DOI: 10.1109/Tevc.2009.2021982 |
0.488 |
|
| 2009 |
Das S, Abraham A, Chakraborty UK, Konar A. Differential evolution using a neighborhood-based mutation operator Ieee Transactions On Evolutionary Computation. 13: 526-553. DOI: 10.1109/Tevc.2008.2009457 |
0.526 |
|
| 2009 |
Biswas A, Das S, Abraham A, Dasgupta S. Design of fractional-order PIλDµ controllers with an improved differential evolution Engineering Applications of Artificial Intelligence. 22: 343-350. DOI: 10.1016/J.Engappai.2008.06.003 |
0.405 |
|
| 2009 |
Das S, Konar A. Automatic image pixel clustering with an improved differential evolution Applied Soft Computing. 9: 226-236. DOI: 10.1016/J.Asoc.2007.12.008 |
0.431 |
|
| 2008 |
Das S, Abraham A, Konar A. Automatic kernel clustering with a Multi-Elitist Particle Swarm Optimization Algorithm Pattern Recognition Letters. 29: 688-699. DOI: 10.1016/J.Patrec.2007.12.002 |
0.516 |
|
| 2007 |
Das S, Konar A. Brief paper: A swarm intelligence approach to the synthesis of two-dimensional IIR filters Engineering Applications of Artificial Intelligence. 20: 1086-1096. DOI: 10.1016/J.Engappai.2007.02.004 |
0.495 |
|
| 2006 |
Das S, Konar A. Two-Dimensional Iir Filter Design With Modern Search Heuristics: A Comparative Study International Journal of Computational Intelligence and Applications. 6: 329-355. DOI: 10.1142/S1469026806001848 |
0.474 |
|
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