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Publikationen von Pradyumn Kumar Shukla


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article
Marlon Braun, Sandra Seijo, Javier Echanobe, Pradyumn Kumar Shukla, Indes del Campo, Javier Garcia-Sedano, Hartmut Schmeck
A neuro-genetic approach for modeling and optimizing a complex cogeneration process
Applied Soft Computing, 48, Seiten 347 - 358, August, 2016
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Pradyumn Kumar Shukla, Marlon Braun, Hartmut Schmeck
A Theoretical and Algorithmic Characterization of Bulge Knees
Optimization Online, Juni, 2015
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Andreas Fischer, Pradyumn Kumar Shukla, M. Wang
On the inexactness level of robust Levenberg-Marquardt methods
Optimization, 59, (2), Seiten 273 - 287, Februar, 2010
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Pradyumn Kumar Shukla, Animesh Das
A re-visit to the development of fatigue and rutting equations used for asphalt pavement design
International Journal of Pavement Engineering, 9, (5), Seiten 355-364, 2008
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Andreas Fischer, Pradyumn Kumar Shukla
A Levenberg–Marquardt algorithm for unconstrained multicriteria optimization
Operations Research Letters, 36, (5), Seiten 643-646, 2008
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Anders Johansson, Dirk Helbing, Pradyumn Kumar Shukla
Specification of the social force pedestrian model by evolutionary adjustment to video tracking data
Advances in Complex Systems, 10, (2), Seiten 271-288, 2007
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Pradyumn Kumar Shukla, Kalyanmoy Deb
On finding multiple Pareto-optimal solutions using classical and evolutionary generating methods
European Journal of Operational Research, 181, (3), Seiten 1630-1652, 2007
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Rui Jiang, Dirk Helbing, Pradyumn Kumar Shukla, Qing-Song Wu
Inefficient emergent oscillations in intersecting driven many-particle flows
Physica A: Statistical Mechanics and its Applications,, 368, (2), Seiten 567-574, 2006
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inproceedings
Marlon Braun, Pradyumn Kumar Shukla, Hartmut Schmeck
Angle-based Preference Models in Multi-objective Optimization
In Heike Trautmann, Günter Rudolph, Kathrin Klamroth, Oliver Schütze, Margaret Wiecek, Margaret , Yaochu Jin, Christian Grimme, Evolutionary Multi-Criterion Optimization: 9th International Conference, EMO 2017, Seiten: 88 - 102, Springer, März, 2017
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Marlon Braun, Lars Heling, Pradyumn Kumar Shukla, Hartmut Schmeck
Multimodal scalarized preferences in multi-objective optimization
GECCO '17 Proceedings of the Genetic and Evolutionary Computation Conference, Seiten: 545-552, ACM, Berlin, Juli, 2017
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Marlon Braun, Pradyumn Kumar Shukla, Hartmut Schmeck
Obtaining Optimal Pareto Front Approximations using Scalarized Preference Information
Proceedings of the 2015 on Genetic and Evolutionary Computation Conference, Seiten: 631-638, ACM, GECCO '15, New York, Juli, 2015
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Pradyumn Kumar Shukla, Michael Cipold, Claus Bachmann, Hartmut Schmeck
On homogenization of coal in longitudinal blending beds
Proceedings of the 2014 conference on Genetic and evolutionary computation, ACM
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Pradyumn Kumar Shukla, Marlon Braun, Hartmut Schmeck
On the Interrelationships Between Knees and Aggregate Objective Functions
Proceedings of the 2014 Conference Companion on Genetic and Evolutionary Computation Companion, Seiten: 95-96, ACM, GECCO Comp '14, New York, NY, USA
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Pradyumn Kumar Shukla, Michael Emmerich, Andre Deutz
A Theoretical Analysis of Curvature Based Preference Models
in EMO 2013, Springer, LNCS
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Michael Emmerich, Andre deutz, Johannes Kruisselbrink, Pradyumn Kumar Shukla
Cone-based Hypervolume Indicators: Construction, Properties, and Efficient Computation
in EMO 2013, Springer, LNCS
(Details)

Pradyumn Kumar Shukla, Marlon Braun
Indicator Based Search in Variable Orderings: Theory and Algorithms
In Purshouse, Robin C. and Fleming, Peter J. and Fonseca, Carlos M. and Greco, Salvatore and Shaw, Jane, Evolutionary Multi-Criterion Optimization, Seiten: 66-80, Springer Berlin Heidelberg, Lecture Notes in Computer Science, 7811
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Pradyumn Kumar Shukla, Marlon Braun, Hartmut Schmeck
Theory and Algorithms for Finding Knees
In Purshouse, Robin C. and Fleming, Peter J. and Fonseca, Carlos M. and Greco, Salvatore and Shaw, Jane, Evolutionary Multi-Criterion Optimization, Seiten: 156-170, Springer Berlin Heidelberg, Lecture Notes in Computer Science, 7811
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Florian Allerding, Marc Premm, Pradyumn Kumar Shukla, Hartmut Schmeck
Electrical Load Management in Smart Homes Using Evolutionary Algorithms
In Jin-Kao Hao and Martin Middendorf, Proceedings of the main European events on Evolutionary Computation, Springer, LNCS, Malaga, Spain, April, 2012
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Pradyumn Kumar Shukla, Christian Hirsch, Hartmut Schmeck
Towards a Deeper Understanding of Trade-offs Using Multi-objective Evolutionary Algorithms
EVoStar 2012, Bio-inspired algorithms for continuous parameter optimisation, Seiten: 396--405, Springer, LNCS
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Michael Cipold, Pradyumn Kumar Shukla, Claus Bachmann, Kaibin Bao, Hartmut Schmeck
An Evolutionary Optimization Approach for Bulk Material Blending Systems
Parallel Problem Solving from Nature - PPSN XII, Springer, Lecture Notes in Computer Science, September, 2012
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Marlon Braun, Pradyumn Kumar Shukla, Hartmut Schmeck
Preference Ranking Schemes in Multi-objective Evolutionary Algorithms
In Takahashi, Ricardo H.C. and Deb, Kalyanmoy and Wanner, Elizabeth F. and Greco, Salvatore, Evolutionary Multi-Criterion Optimization, Seiten: 226-240, Springer Berlin Heidelberg, Lecture Notes in Computer Science, 6576
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Christian Hirsch, Pradyumn Kumar Shukla, Hartmut Schmeck
Variable Preference Modeling using Multi-objective Evolutionary Algorithms
In R. H. C. Takahashi, K. Deb, E. F. Wanner, S. Greco, Evolutionary Multi-Criterion Optimization, Seiten: 91-105, Springer, LNCS, 6576, Berlin / Heidelberg
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Pradyumn Kumar Shukla, Christian Hirsch, Hartmut Schmeck
A Framework for Incorporating Trade-off Information Using Multi-objective Evolutionary Algorithms
In Robert Schaefer, Carlos Cotta, Joanna Kolodziej, Günter Rudolph, Parallel Problem Solving from Nature - PPSN XI, Part II, Seiten: 131-140, Springer, LNCS, 6239, Berlin Heidelberg, September, 2010
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Pradyumn Kumar Shukla, Christian Hirsch, Hartmut Schmeck
In Search of Equitable Solutions Using Multi-objective Evolutionary Algorithms
In Robert Schaefer, Carlos Cotta, Joanna Kolodziej, Günter Rudolph, Parallel Problem Solving from Nature - PPSN XI, Part I, Seiten: 687-696, Springer, LNCS, 6238, Berlin Heidelberg, September, 2010
(Details)

Pradyumn Kumar Shukla
On Modeling and Evolutionary Optimization of Nonlinearly Coupled Pedestrian Interactions
EVoStar 2010, Evolutionary Algorithms and Complex Systems, Seiten: 21-30, Springer, Lecture Notes in Computer Science, Berlin Heidelberg, April, 2010
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Pradyumn Kumar Shukla
Genetically Optimized Architectural Designs for Control of Pedestrian Crowds
In Kevin B. Korb, Marcus Randall, Tim Hendtlass, Proceedings of the 4th Australian Conference (ACAL), Seiten: 22-31, Springer, Lecture Notes in Computer Science, 5865, Berlin, Heidelberg, New York
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Pradyumn Kumar Shukla
Exploiting Second Order Information in Computational Multi-objective Evolutionary Optimization
Progress in Artificial Intelligence, Seiten: 271-282, Lecture Notes in Computer Science, 4874
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book
Pradyumn Kumar Shukla
Theoretical and Algorithmic Advances in Preference-based Multicriteria Optimization
Hochschulschrift, Februar, 2016
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misc
Pradyumn Kumar Shukla
Google scholar profile
Februar, 2013
(Details)

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