Uday Kumar Chakraborty

IEEE Access, 2022

2020

Semi-steady-state Jaya Algorithm.

[BibT_eX]

[DOI]

CoRR, 2020

2016

Parameter Optimization of PEMFC with Genetic Algorithm.

[BibT_eX]

[DOI]

Puja Bhatt

Neha Agarwal

New Math. Nat. Comput., 2016

2015

Evolutionary algorithm for compressive sensing.

[BibT_eX]

[DOI]

Int. J. Autom. Control., 2015

2012

Energy-efficient routing in hierarchical wireless sensor networks using differential-evolution-based memetic algorithm.

[BibT_eX]

[DOI]

Sajal K. Das

Travis E. Abbott

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011

Lens design as multi-objective optimisation.

[BibT_eX]

[DOI]

Shaine Joseph

Hyung Woo Kang

Int. J. Autom. Control., 2011

Clustering in mobile ad hoc networks with differential evolution.

[BibT_eX]

[DOI]

Travis E. Abbott

Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010

Floating-point to integer mapping schemes in differential evolution for permutation flow shop scheduling.

[BibT_eX]

[DOI]

Kenneth P. Turvey

Int. J. Bio Inspired Comput., 2010

Minimising total flow time in permutation flow shop scheduling using a simulated annealing-based approach.

[BibT_eX]

[DOI]

Dipak Laha

Int. J. Autom. Control., 2010

2009

Emotion Recognition From Facial Expressions and Its Control Using Fuzzy Logic.

[BibT_eX]

[DOI]

Aruna Chakraborty

Amita Chatterjee

IEEE Trans. Syst. Man Cybern. Part A, 2009

Differential Evolution Using a Neighborhood-Based Mutation Operator.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2009

Behavioral analysis of cooperative/competitive antibody dynamics in garbage cleaning applications.

[BibT_eX]

[DOI]

Madhumala Ghosh

J. Intell. Fuzzy Syst., 2009

Cooperative multi-robot path planning using differential evolution.

[BibT_eX]

[DOI]

Jayasree Chakraborty

J. Intell. Fuzzy Syst., 2009

An evolutionary computation approach to predicting output voltage from fuel utilization in SOFC stacks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Minimizing total flow time in permutation flow shop scheduling with improved simulated annealing.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008

Genetic and evolutionary computing.

[BibT_eX]

[DOI]

Inf. Sci., 2008

Genetic programming model of solid oxide fuel cell stack: first results.

[BibT_eX]

[DOI]

Int. J. Inf. Commun. Technol., 2008

Behavioral analysis of co-operative/competitive antibody dynamics.

[BibT_eX]

[DOI]

Madhumala Ghosh

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Kernel-based clustering of image pixels with modified Differential Evolution.

[BibT_eX]

[DOI]

Sudeshna Sil

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Distributed cooperative multi-robot path planning using differential evolution.

[BibT_eX]

[DOI]

Jayasree Chakraborty

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007

An improved heuristic for permutation flowshop scheduling.

[BibT_eX]

[DOI]

Dipak Laha

Int. J. Inf. Commun. Technol., 2007

An efficient stochastic hybrid heuristic for flowshop scheduling.

[BibT_eX]

[DOI]

Dipak Laha

Eng. Appl. Artif. Intell., 2007

Optical Design with Epsilon-Dominated Multi-objective Evolutionary Algorithm.

[BibT_eX]

[DOI]

Shaine Joseph

Hyung Woo Kang

Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

Annealed Differential Evolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006

A unified scheme for adaptive stroke-based rendering.

[BibT_eX]

[DOI]

Hyung Woo Kang

Charles K. Chui

Vis. Comput., 2006

Automatic Fuzzy Segmentation of Images with Differential Evolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

Differential Evolution with Local Neighborhood.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005

Interactive sketch generation.

[BibT_eX]

[DOI]

Vis. Comput., 2005

Supervised learning on a fuzzy Petri net.

[BibT_eX]

[DOI]

Paul P. Wang

Inf. Sci., 2005

Reasoning and unsupervised learning in a fuzzy cognitive map.

[BibT_eX]

[DOI]

Inf. Sci., 2005

An efficient evolutionary algorithm applied to the design of two-dimensional IIR filters.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Two improved differential evolution schemes for faster global search.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Improving particle swarm optimization with differentially perturbed velocity.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Improved differential evolution algorithms for handling noisy optimization problems.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004

Gray and Binary Encoding in the (1+1)-EA.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing, 11th International Conference, 2004

Analysis of encoding in 1+1-EA.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2003

An analysis of Gray versus binary encoding in genetic search.

[BibT_eX]

[DOI]

Cezary Z. Janikow

Inf. Sci., 2003

2001

Special issue on Evolutionary computing.

[BibT_eX]

[DOI]

J. Syst. Archit., 2001

Autotuning a PID controller: A fuzzy-genetic approach.

[BibT_eX]

[DOI]

Rajib Bandyopadhyay

D. Patranabis

J. Syst. Archit., 2001

1997

An efficient link enhancement strategy for computer networks using genetic algorithm.

[BibT_eX]

[DOI]

Debashis Saha

Comput. Commun., 1997

1996

Analysis of Selection Algorithms: A Markov Chain Approach.

[BibT_eX]

[DOI]

Kalyanmoy Deb

Mandira Chakraborty

Evol. Comput., 1996

1995

A Branching Process Model for Genetic Algorithms.

[BibT_eX]

[DOI]

Inf. Process. Lett., 1995

A Simpler Derivation of Schema Hazard in Genetic Algorithms.

[BibT_eX]

[DOI]

Inf. Process. Lett., 1995

1993

Using Reliability Analysis to Estimate the Number of Generations to Convergence in Genetic Algorithms.

[BibT_eX]

[DOI]