 | 2012 |
| 29 |  | Satchidananda Dehuri,
Sung-Bae Cho:
Learning Fuzzy Network Using Sequence Bound Global Particle Swarm Optimizer.
IJFSA 2(1): 54-70 (2012) |
| 2011 |
| 28 |  | Rahul Roy,
Madhabananda Das,
Satchidananda Dehuri:
A Combinatorial Multi-objective Particle Swarm Optimization Based Algorithm for Task Allocation in Distributed Computing Systems.
ACC (4) 2011: 113-125 |
| 27 |  | Satchidananda Dehuri,
B. S. P. Mishra,
Rahul Roy,
Sung-Bae Cho:
A serial and parallel genetic based learning algorithm for Bayesian classifier to predict metabolic syndrome.
Bangalore Compute Conf. 2011: 1 |
| 26 |  | Satchidananda Dehuri,
Rahul Roy,
Sung-Bae Cho:
An adaptive binary PSO to learn bayesian classifier for prognostic modeling of metabolic syndrome.
GECCO (Companion) 2011: 495-502 |
| 25 |  | B. S. P. Mishra,
A. K. Addy,
Rahul Roy,
Satchidananda Dehuri:
Parallel multi-objective genetic algorithms for associative classification rule mining.
ICCCS 2011: 409-414 |
| 24 |  | Tirimula Rao Benala,
Satchidananda Dehuri,
Suresh Chandra Satapathy,
Ch. Sudha Raghavi:
Genetic Algorithm for Optimizing Neural Network Based Software Cost Estimation.
SEMCCO (1) 2011: 233-239 |
| 23 |  | Tirimula Rao Benala,
Satchidananda Dehuri,
G. S. Surya Vamsi Sirisetti,
Aditya Pagadala:
Differential Evolution for Optimizing the Hybrid Filter Combination in Image Edge Enhancement.
SEMCCO (1) 2011: 35-42 |
| 22 |  | Satchidananda Dehuri,
Bijan Bihari Misra,
Ashish Ghosh,
Sung-Bae Cho:
A condensed polynomial neural network for classification using swarm intelligence.
Appl. Soft Comput. 11(3): 3106-3113 (2011) |
| 21 |  | B. S. P. Mishra,
Satchidananda Dehuri,
Rajib Mall,
Ashish Ghosh:
Parallel Single and Multiple Objectives Genetic Algorithms: A Survey.
IJAEC 2(2): 21-57 (2011) |
| 20 |  | Madhabananda Das,
Rahul Roy,
Satchidananda Dehuri,
Sung-Bae Cho:
A New Approach to Associative Classification Based on Binary Multi-objective Particle Swarm Optimization.
Int. J. of Applied Metaheuristic Computing 2(2): 51-73 (2011) |
| 19 |  | Rahul Roy,
Satchidananda Dehuri,
Sung-Bae Cho:
A Novel Particle Swarm Optimization Algorithm for Multi-Objective Combinatorial Optimization Problem.
Int. J. of Applied Metaheuristic Computing 2(4): 41-57 (2011) |
| 2010 |
| 18 |  | Satchidananda Dehuri,
Sung-Bae Cho:
Evolutionarily optimized features in functional link neural network for classification.
Expert Syst. Appl. 37(6): 4379-4391 (2010) |
| 17 |  | Satchidananda Dehuri,
Sung-Bae Cho:
A comprehensive survey on functional link neural networks and an adaptive PSO-BP learning for CFLNN.
Neural Computing and Applications 19(2): 187-205 (2010) |
| 16 |  | Satchidananda Dehuri,
Sung-Bae Cho:
A hybrid genetic based functional link artificial neural network with a statistical comparison of classifiers over multiple datasets.
Neural Computing and Applications 19(2): 317-328 (2010) |
| 2009 |
| 15 |  | Chee Peng Lim,
Lakhmi C. Jain,
Satchidananda Dehuri:
Innovations in Swarm Intelligence
Springer 2009 |
| 14 |  | Satchidananda Dehuri,
Bijaya Kumar Nanda,
Sung-Bae Cho:
A Hybrid APSO-aided Learnable Bayesian Classifier.
IICAI 2009: 695-706 |
| 13 |  | Swagatika Devi,
Alok Kumar Jagadev,
Satchidananda Dehuri,
Rajib Mall:
A Fresh Particle Swarm Optimizations: A Position Paper.
NaBIC 2009: 1243-1246 |
| 12 |  | Satchidananda Dehuri,
Sung-Bae Cho:
Multi-criterion Pareto based particle swarm optimized polynomial neural network for classification: A review and state-of-the-art.
Computer Science Review 3(1): 19-40 (2009) |
| 2008 |
| 11 |  | Ashish Ghosh,
Satchidananda Dehuri,
Susmita Ghosh:
Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases
Springer 2008 |
| 10 |  | Satchidananda Dehuri,
Sung-Bae Cho:
A novel particle swarm optimization for multiple campaigns assignment problem.
CSTST 2008: 317-324 |
| 9 |  | Satchidananda Dehuri,
Bijan Bihari Misra,
Sung-Bae Cho:
A Notable Swarm Approach to Evolve Neural Network for Classification in Data Mining.
ICONIP (1) 2008: 1121-1128 |
| 8 |  | Satchidananda Dehuri,
Bijan Bihari Misra,
Sung-Bae Cho:
Genetic Feature Selection for Optimal Functional Link Artificial Neural Network in Classification.
IDEAL 2008: 156-163 |
| 7 |  | Bijan Bihari Misra,
Satchidananda Dehuri,
Pradipta K. Dash,
Ganapati Panda:
Reduced polynomial neural swarm net for classification task in data mining.
IEEE Congress on Evolutionary Computation 2008: 2298-2306 |
| 6 |  | Satchidananda Dehuri,
Susmita Ghosh,
Ashish Ghosh:
Genetic Algorithm for Optimization of Multiple Objectives in Knowledge Discovery from Large Databases.
Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases 2008: 1-22 |
| 5 |  | Satchidananda Dehuri,
Srikanta Patnaik,
Ashish Ghosh,
Rajib Mall:
Application of elitist multi-objective genetic algorithm for classification rule generation.
Appl. Soft Comput. 8(1): 477-487 (2008) |
| 4 |  | Bijan Bihari Misra,
Satchidananda Dehuri,
Pradipta K. Dash,
Ganapati Panda:
A reduced and comprehensible polynomial neural network for classification.
Pattern Recognition Letters 29(12): 1705-1712 (2008) |
| 2007 |
| 3 |  | Satchidananda Dehuri,
Rajib Mall:
Parallel Processing of OLAP Queries Using a Cluster of Workstations.
International Journal of Information Technology and Decision Making 6(2): 279-299 (2007) |
| 2006 |
| 2 |  | Satchidananda Dehuri,
Ashish Ghosh,
Rajib Mall:
Particles with Age for Data Clustering.
ICIT 2006: 221-224 |
| 1 |  | Satchidananda Dehuri,
Rajib Mall:
Predictive and comprehensible rule discovery using a multi-objective genetic algorithm.
Knowl.-Based Syst. 19(6): 413-421 (2006) |