Differential evolution: A survey of the state-of-the-art S Das, PN Suganthan IEEE transactions on evolutionary computation 15 (1), 4-31, 2010 | 5083 | 2010 |
Recent advances in differential evolution - an updated survey S Das, SS Mullick, PN Suganthan Swarm and Evolutionary Computation 27, 1-30, 2016 | 1377 | 2016 |
Differential evolution using a neighborhood-based mutation operator S Das, A Abraham, UK Chakraborty, A Konar IEEE Transactions on Evolutionary Computation 13 (3), 526-553, 2009 | 1282 | 2009 |
Automatic clustering using an improved differential evolution algorithm S Das, A Abraham, A Konar IEEE Transactions on systems, man, and cybernetics-Part A: Systems and …, 2007 | 871 | 2007 |
An adaptive differential evolution algorithm with novel mutation and crossover strategies for global numerical optimization SM Islam, S Das, S Ghosh, S Roy, PN Suganthan IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 42 …, 2011 | 622 | 2011 |
Bacterial foraging optimization algorithm: theoretical foundations, analysis, and applications S Das, A Biswas, S Dasgupta, A Abraham Foundations of Computational Intelligence Volume 3, 23-55, 2009 | 609 | 2009 |
Particle swarm optimization and differential evolution algorithms: technical analysis, applications and hybridization perspectives S Das, A Abraham, A Konar Advances of Computational Intelligence in Industrial Systems, 1-38, 2008 | 586 | 2008 |
Problem definitions and evaluation criteria for CEC 2011 competition on testing evolutionary algorithms on real world optimization problems S Das, PN Suganthan Jadavpur University, Nanyang Technological University, Kolkata, 341-359, 2010 | 570 | 2010 |
Two improved differential evolution schemes for faster global search S Das, A Konar, UK Chakraborty Proceedings of the 7th annual conference on Genetic and evolutionary …, 2005 | 455 | 2005 |
Bio-inspired computation: Where we stand and what's next J Del Ser, E Osaba, D Molina, XS Yang, S Salcedo-Sanz, D Camacho, ... Swarm and Evolutionary Computation 48, 220-250, 2019 | 386 | 2019 |
Design of fractional-order PIλDμ controllers with an improved differential evolution A Biswas, S Das, A Abraham, S Dasgupta Engineering applications of artificial intelligence 22 (2), 343-350, 2009 | 379* | 2009 |
A distance-based locally informed particle swarm model for multimodal optimization BY Qu, PN Suganthan, S Das IEEE Transactions on Evolutionary Computation 17 (3), 387-402, 2012 | 354 | 2012 |
Adaptive computational chemotaxis in bacterial foraging optimization: an analysis S Dasgupta, S Das, A Abraham, A Biswas IEEE Transactions on Evolutionary Computation 13 (4), 919-941, 2009 | 352* | 2009 |
Real-parameter evolutionary multimodal optimization—A survey of the state-of-the-art S Das, S Maity, BY Qu, PN Suganthan Swarm and Evolutionary Computation 1 (2), 71-88, 2011 | 315 | 2011 |
Exploratory power of the harmony search algorithm: analysis and improvements for global numerical optimization S Das, A Mukhopadhyay, A Roy, A Abraham, BK Panigrahi IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 41 …, 2010 | 305 | 2010 |
Synergy of PSO and bacterial foraging optimization—a comparative study on numerical benchmarks A Biswas, S Dasgupta, S Das, A Abraham Innovations in Hybrid Intelligent Systems, 255-263, 2007 | 275 | 2007 |
Recent trends in the use of statistical tests for comparing swarm and evolutionary computing algorithms: Practical guidelines and a critical review J Carrasco, S García, MM Rueda, S Das, F Herrera Swarm and Evolutionary Computation 54, 2020 | 269 | 2020 |
Multi-sensor data fusion using support vector machine for motor fault detection TP Banerjee, S Das Information Sciences 217, 96-107, 2012 | 269 | 2012 |
Swarm intelligence algorithms for data clustering A Abraham, S Das, S Roy Soft Computing for Knowledge Discovery and Data Mining, 279-313, 2008 | 226 | 2008 |
Automatic kernel clustering with a multi-elitist particle swarm optimization algorithm S Das, A Abraham, A Konar Pattern Recognition Letters 29 (5), 688-699, 2008 | 222 | 2008 |