A. K. M. Khaled Ahsan Talukder

18 papers A 2B 2C 1Journal 3Unranked 10
YearRankTypeTitle / Venue / Authors
2021 J jnl
An improved visual analytics framework for high-dimensional pareto-optimal front: a case for multi-objective portfolio optimization.
J. Bank. Financial Technol.
A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb
2021 — conf
Visualization-based Multi-Criterion Decision Making with NIMBUS Method Using Palette Viz.
SSCI
Kalyanmoy Deb, A. K. M. Khaled Ahsan Talukder
2020 — conf
PaletteStarViz: a visualization method for multi-criteria decision making from high-dimensional pareto-optimal front.
GECCO Companion
A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb
2020 — conf
PaletteViz with Star-coordinates: An Improved Method for High-dimensional Pareto-optimal Front Visualization and Decision-making.
SSCI
A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb
2020 J jnl
PaletteViz: A Visualization Method for Functional Understanding of High-Dimensional Pareto-Optimal Data-Sets to Aid Multi-Criteria Decision Making.
IEEE Comput. Intell. Mag.
A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb
2018 — conf
A Topologically Consistent Visualization of High Dimensional Pareto-front for Multi-Criteria Decision Making.
SSCI
A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb
2018 — conf
Visualization of the boundary solutions of high dimensional pareto front from a decision maker's perspective.
GECCO (Companion)
A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb, Julian Blank
2017 — conf
Finding near-optimum and diverse solutions for a large-scale engineering design problem.
SSCI
Abhinav Gaur, A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb, Santosh Tiwari, Simon Xu, Don Jones
2017 C conf
Injection of Extreme Points in Evolutionary Multiobjective Optimization Algorithms.
EMO
A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb, Shahryar Rahnamayan
2016 — conf
Maintaining Diversity in The Bounded Pareto-Set: A Case of Opposition Based Solution Generation Scheme.
GECCO (Companion)
A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb, Shahryar Rahnamayan
2013 A conf
Is the meta-EA a viable optimization method?
GECCO
Sean Luke, A. K. M. Khaled Ahsan Talukder
2012 — conf
Multiobjective optimization of co-clustering ensembles.
GECCO (Companion)
Francesco Gullo, A. K. M. Khaled Ahsan Talukder, Sean Luke, Carlotta Domeniconi, Andrea Tagarelli
2009 J jnl
Multiobjective differential evolution for scheduling workflow applications on global Grids.
Concurr. Comput. Pract. Exp.
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Rajkumar Buyya
2009 B conf
The Pareto-Following Variation Operator as an alternative approximation model.
IEEE Congress on Evolutionary Computation
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Rajkumar Buyya
2008 B conf
A Pareto following variation operator for evolutionary dynamic multi-objective optimization.
IEEE Congress on Evolutionary Computation
A. K. M. Khaled Ahsan Talukder, Michael Kirley
2008 A conf
A pareto following variation operator for fast-converging multiobjective evolutionary algorithms.
GECCO
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Rajkumar Buyya
2008 — conf
Towards high speed multiobjective evolutionary optimizers.
GECCO (Companion)
A. K. M. Khaled Ahsan Talukder
2007 — conf
Multiobjective differential evolution for workflow execution on grids.
MGC
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Rajkumar Buyya