Swagatam Das
Swagatam Das
Professor, Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata
Verified email at - Homepage
Cited by
Cited by
Differential evolution: A survey of the state-of-the-art
S Das, PN Suganthan
IEEE transactions on evolutionary computation 15 (1), 4-31, 2010
Recent advances in differential evolution - an updated survey
S Das, SS Mullick, PN Suganthan
Swarm and Evolutionary Computation 27, 1-30, 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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Multi-sensor data fusion using support vector machine for motor fault detection
TP Banerjee, S Das
Information Sciences 217, 96-107, 2012
Swarm intelligence algorithms for data clustering
A Abraham, S Das, S Roy
Soft Computing for Knowledge Discovery and Data Mining, 279-313, 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
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