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A. K. M. Khaled Ahsan Talukder

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2020 – today

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2021
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A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb:
An improved visual analytics framework for high-dimensional pareto-optimal front: a case for multi-objective portfolio optimization. J. Bank. Financial Technol. 5(2): 105-115 (2021)
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Kalyanmoy Deb, A. K. M. Khaled Ahsan Talukder:
Visualization-based Multi-Criterion Decision Making with NIMBUS Method Using Palette Viz. SSCI 2021: 1-8
2020
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A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb:
PaletteViz: A Visualization Method for Functional Understanding of High-Dimensional Pareto-Optimal Data-Sets to Aid Multi-Criteria Decision Making. IEEE Comput. Intell. Mag. 15(2): 36-48 (2020)
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A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb:
PaletteStarViz: a visualization method for multi-criteria decision making from high-dimensional pareto-optimal front. GECCO Companion 2020: 175-176
[c13]
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A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb:
PaletteViz with Star-coordinates: An Improved Method for High-dimensional Pareto-optimal Front Visualization and Decision-making. SSCI 2020: 2186-2193

2010 – 2019

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2018
[c12]
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A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb, Julian Blank:
Visualization of the boundary solutions of high dimensional pareto front from a decision maker's perspective. GECCO (Companion) 2018: 201-202
[c11]
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A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb:
A Topologically Consistent Visualization of High Dimensional Pareto-front for Multi-Criteria Decision Making. SSCI 2018: 1579-1586
2017
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A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb, Shahryar Rahnamayan:
Injection of Extreme Points in Evolutionary Multiobjective Optimization Algorithms. EMO 2017: 590-605
[c9]
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Abhinav Gaur, A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb, Santosh Tiwari, Simon Xu, Don Jones:
Finding near-optimum and diverse solutions for a large-scale engineering design problem. SSCI 2017: 1-8
2016
[c8]
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A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb, Shahryar Rahnamayan:
Maintaining Diversity in The Bounded Pareto-Set: A Case of Opposition Based Solution Generation Scheme. GECCO (Companion) 2016: 945-951
2013
[c7]
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Sean Luke, A. K. M. Khaled Ahsan Talukder:
Is the meta-EA a viable optimization method? GECCO 2013: 1533-1540
2012
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Francesco Gullo, A. K. M. Khaled Ahsan Talukder, Sean Luke, Carlotta Domeniconi, Andrea Tagarelli:
Multiobjective optimization of co-clustering ensembles. GECCO (Companion) 2012: 1495-1496

2000 – 2009

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2009
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A. K. M. Khaled Ahsan Talukder, Michael Kirley, Rajkumar Buyya:
Multiobjective differential evolution for scheduling workflow applications on global Grids. Concurr. Comput. Pract. Exp. 21(13): 1742-1756 (2009)
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A. K. M. Khaled Ahsan Talukder, Michael Kirley, Rajkumar Buyya:
The Pareto-Following Variation Operator as an alternative approximation model. IEEE Congress on Evolutionary Computation 2009: 8-15
2008
[c4]
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A. K. M. Khaled Ahsan Talukder, Michael Kirley:
A Pareto following variation operator for evolutionary dynamic multi-objective optimization. IEEE Congress on Evolutionary Computation 2008: 2270-2277
[c3]
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A. K. M. Khaled Ahsan Talukder, Michael Kirley, Rajkumar Buyya:
A pareto following variation operator for fast-converging multiobjective evolutionary algorithms. GECCO 2008: 721-728
[c2]
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A. K. M. Khaled Ahsan Talukder:
Towards high speed multiobjective evolutionary optimizers. GECCO (Companion) 2008: 1791-1794
2007
[c1]
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A. K. M. Khaled Ahsan Talukder, Michael Kirley, Rajkumar Buyya:
Multiobjective differential evolution for workflow execution on grids. MGC 2007: 3

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