Pradyumn Shukla

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Hartmut SchmeckKarlsruher Institut für Technologie (KIT)Verified email at kit.edu
Marlon BraunDeutsche Bahn AGVerified email at deutschebahn.com
Kalyanmoy DebKoenig Endowed Chair Professor, Electrical and Computer Engineering, Michigan State UniversityVerified email at egr.msu.edu
Dirk HelbingComputational Social Science, ETH ZurichVerified email at ethz.ch
Anders JohanssonAssociate Professor in Engineering Mathematics, University of Bristol, University College LondonVerified email at bristol.ac.uk
Michael EmmerichAssociate Professor, LIACS, Leiden University & Lead AI Scientist at SILO.AIVerified email at liacs.nl
Santosh TiwariVehicle Optimization Engineer at General MotorsVerified email at gm.com
Johannes KruisselbrinkBiometris, Wageningen University & ResearchVerified email at wur.nl
rui jiangUSTC, BJTUVerified email at ustc.edu.cn
Joydeep DuttaProfessor, Department of Economic Sciences, Indian Institute of Technology, Kanpur, IndiaVerified email at iitk.ac.in
Michael P. CipoldKarlsruhe Institute of Technology; J&C Bachmann GmbHVerified email at jcbachmann.com
Gabriele EichfelderTU IlmenauVerified email at tu-ilmenau.de
Xavier GandibleuxProfessor of Computer Science, University of NantesVerified email at univ-nantes.fr
Andrzej JaszkiewiczPoznan University of TechnologyVerified email at cs.put.poznan.pl
Heike TrautmannProfessor of Data Science: Statistics and Optimization, Department of Information SystemsVerified email at wi.uni-muenster.de
Martin Josef GeigerUniversity of the Federal Armed Forces Hamburg, GermanyVerified email at hsu-hh.de
Poonam KesarwaniPost docVerified email at tifr.res.in
Deepak SharmaAssociate ProfessorVerified email at iitg.ac.in
Lars HelingPh.D. Student, Karlsruhe Institute of TechnologyVerified email at kit.edu
Kaibin BaoWissenschaftlicher Mitarbeiter, Karlsruhe Institute of TechnologyVerified email at kit.edu

Pradyumn Shukla

Karlsruhe Institute of Technology

Verified email at kit.edu

Optimization Algorithms Applications


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Specification of the social force pedestrian model by evolutionary adjustment to video tracking data A Johansson, D Helbing, PK Shukla Advances in complex systems 10 (supp02), 271-288, 2007	590	2007
On finding multiple Pareto-optimal solutions using classical and evolutionary generating methods PK Shukla, K Deb European Journal of Operational Research 181 (3), 1630-1652, 2007	215	2007
Comparing Classical Generating Methods with an Evolutionary Multi-objective Optimization Method. PK Shukla, K Deb, S Tiwari EMO, 311-325, 2005	60	2005
On the normal boundary intersection method for generation of efficient front PK Shukla Computational Science–ICCS 2007: 7th International Conference, Beijing …, 2007	58	2007
Inefficient emergent oscillations in intersecting driven many-particle flows R Jiang, D Helbing, PK Shukla, QS Wu Physica A: Statistical Mechanics and its Applications 368 (2), 567-574, 2006	45	2006
On gradient based local search methods in unconstrained evolutionary multi-objective optimization PK Shukla Evolutionary Multi-Criterion Optimization: 4th International Conference, EMO …, 2007	43	2007
Electrical load management in smart homes using evolutionary algorithms F Allerding, M Premm, PK Shukla, H Schmeck Evolutionary Computation in Combinatorial Optimization: 12th European …, 2012	38	2012
On the inexactness level of robust Levenberg–Marquardt methods A Fischer, PK Shukla, M Wang Optimization 59 (2), 273-287, 2010	35	2010
A Levenberg–Marquardt algorithm for unconstrained multicriteria optimization A Fischer, PK Shukla Operations Research Letters 36 (5), 643-646, 2008	33	2008
Variable preference modeling using multi-objective evolutionary algorithms C Hirsch, PK Shukla, H Schmeck Evolutionary Multi-Criterion Optimization: 6th International Conference, EMO …, 2011	31	2011
A re-visit to the development of fatigue and rutting equations used for asphalt pavement design PK Shukla, A Das International Journal of Pavement Engineering 9 (5), 355-364, 2008	31	2008
Theory and algorithms for finding knees PK Shukla, MA Braun, H Schmeck Evolutionary Multi-Criterion Optimization: 7th International Conference, EMO …, 2013	29	2013
A framework for incorporating trade-off information using multi-objective evolutionary algorithms PK Shukla, C Hirsch, H Schmeck Parallel Problem Solving from Nature, PPSN XI: 11th International Conference …, 2010	27	2010
Genetically optimized architectural designs for control of pedestrian crowds PK Shukla Artificial Life: Borrowing from Biology: 4th Australian Conference, ACAL …, 2009	27	2009
Cone-based hypervolume indicators: construction, properties, and efficient computation M Emmerich, A Deutz, J Kruisselbrink, PK Shukla Evolutionary Multi-Criterion Optimization: 7th International Conference, EMO …, 2013	26	2013
In search of equitable solutions using multi-objective evolutionary algorithms PK Shukla, C Hirsch, H Schmeck Parallel Problem Solving from Nature, PPSN XI: 11th International Conference …, 2010	21	2010
Gradient based stochastic mutation operators in evolutionary multi-objective optimization PK Shukla Adaptive and Natural Computing Algorithms: 8th International Conference …, 2007	21	2007
Obtaining optimal pareto front approximations using scalarized preference information MA Braun, PK Shukla, H Schmeck Proceedings of the 2015 Annual Conference on Genetic and Evolutionary …, 2015	20	2015
Indicator based search in variable orderings: theory and algorithms PK Shukla, MA Braun Evolutionary Multi-Criterion Optimization: 7th International Conference, EMO …, 2013	20	2013
Angle-based preference models in multi-objective optimization M Braun, P Shukla, H Schmeck Evolutionary Multi-Criterion Optimization: 9th International Conference, EMO …, 2017	19	2017

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