Pradyumn Kumar Shukla

38 papers A 4B 2C 9Misc 2Journal 9Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
MIRACL: A Diverse Meta-Reinforcement Learning for Multi-Objective Multi-Echelon Combinatorial Supply Chain Optimisation.
CoRR
Rifny Rachman, Josh C. Tingey, Richard Allmendinger, Wei Pan, Pradyumn Kumar Shukla, Bahrul Ilmi Nasution
2025 — conf
Multi-objective Sequential Decision Making for Holistic Supply Chain Optimization.
EMO (1)
Rifny Rachman, Josh C. Tingey, Richard Allmendinger, Pradyumn Kumar Shukla, Wei Pan
2025 J jnl
Reinforcement Learning for Multi-Objective Multi-Echelon Supply Chain Optimisation.
CoRR
Rifny Rachman, Josh C. Tingey, Richard Allmendinger, Pradyumn Kumar Shukla, Wei Pan
2024 — conf
On Solving the Capacitated Vehicle Routing Problem with Time Windows using Quantum Annealing.
GECCO Companion
Axel Vargas, Pradyumn Kumar Shukla, Richard Allmendinger, Andreas Jaeger
2024 J jnl
On cone-based decompositions of proper Pareto-optimality in multi-objective optimization.
Eur. J. Oper. Res.
Marlon Braun, Pradyumn Kumar Shukla
2022 J jnl
Approximations for Pareto and Proper Pareto solutions and their KKT conditions.
Math. Methods Oper. Res.
Poonam Kesarwani, Pradyumn Kumar Shukla, Joydeep Dutta, Kalyanmoy Deb
2019 J jnl
Line-prioritized environmental selection and normalization scheme for many-objective optimization using reference-lines-based framework.
Swarm Evol. Comput.
Deepak Sharma, Pradyumn Kumar Shukla
2017 C conf
Angle-Based Preference Models in Multi-objective Optimization.
EMO
Marlon Alexander Braun, Pradyumn Kumar Shukla, Hartmut Schmeck
2017 A conf
Multimodal scalarized preferences in multi-objective optimization.
GECCO
Marlon Alexander Braun, Lars Heling, Pradyumn Kumar Shukla, Hartmut Schmeck
2016 J jnl
A neuro-genetic approach for modeling and optimizing a complex cogeneration process.
Appl. Soft Comput.
Marlon Alexander Braun, Sandra Seijo, Javier Echanobe, Pradyumn Kumar Shukla, Inés del Campo, Javier A. García-Sedano, Hartmut Schmeck
2015 A conf
Obtaining Optimal Pareto Front Approximations using Scalarized Preference Information.
GECCO
Marlon Alexander Braun, Pradyumn Kumar Shukla, Hartmut Schmeck
2014 A conf
A theoretical analysis of volume based Pareto front approximations.
GECCO
Pradyumn Kumar Shukla, Nadja Doll, Hartmut Schmeck
2014 A conf
On homogenization of coal in longitudinal blending beds.
GECCO
Pradyumn Kumar Shukla, Michael P. Cipold, Claus C. Bachmann, Hartmut Schmeck
2014 — conf
On the interrelationships between knees and aggregate objective functions.
GECCO (Companion)
Pradyumn Kumar Shukla, Marlon Alexander Braun, Hartmut Schmeck
2013 C conf
A Theoretical Analysis of Curvature Based Preference Models.
EMO
Pradyumn Kumar Shukla, Michael Emmerich, André H. Deutz
2013 C conf
Cone-Based Hypervolume Indicators: Construction, Properties, and Efficient Computation.
EMO
Michael Emmerich, André H. Deutz, Johannes W. Kruisselbrink, Pradyumn Kumar Shukla
2013 C conf
Indicator Based Search in Variable Orderings: Theory and Algorithms.
EMO
Pradyumn Kumar Shukla, Marlon Alexander Braun
2013 C conf
Theory and Algorithms for Finding Knees.
EMO
Pradyumn Kumar Shukla, Marlon Alexander Braun, Hartmut Schmeck
2012 — conf
An Evolutionary Optimization Approach for Bulk Material Blending Systems.
PPSN (1)
Michael P. Cipold, Pradyumn Kumar Shukla, Claus C. Bachmann, Kaibin Bao, Hartmut Schmeck
2012 B conf
Electrical Load Management in Smart Homes Using Evolutionary Algorithms.
EvoCOP
Florian Allerding, Marc Premm, Pradyumn Kumar Shukla, Hartmut Schmeck
2012 B conf
Towards a Deeper Understanding of Trade-offs Using Multi-objective Evolutionary Algorithms.
EvoApplications
Pradyumn Kumar Shukla, Christian Hirsch, Hartmut Schmeck
2011 C conf
Preference Ranking Schemes in Multi-Objective Evolutionary Algorithms.
EMO
Marlon Alexander Braun, Pradyumn Kumar Shukla, Hartmut Schmeck
2011 C conf
Variable Preference Modeling Using Multi-Objective Evolutionary Algorithms.
EMO
Christian Hirsch, Pradyumn Kumar Shukla, Hartmut Schmeck
2010 — conf
A Framework for Incorporating Trade-Off Information Using Multi-Objective Evolutionary Algorithms.
PPSN (2)
Pradyumn Kumar Shukla, Christian Hirsch, Hartmut Schmeck
2010 — conf
In Search of Equitable Solutions Using Multi-objective Evolutionary Algorithms.
PPSN (1)
Pradyumn Kumar Shukla, Christian Hirsch, Hartmut Schmeck
2010 — —
Levenberg-Marquardt Algorithms for Nonlinear Equations, Multi-objective Optimization, and Complementarity Problems
Pradyumn Kumar Shukla
2010 — conf
On Modeling and Evolutionary Optimization of Nonlinearly Coupled Pedestrian Interactions.
EvoApplications (1)
Pradyumn Kumar Shukla
2009 — conf
Genetically Optimized Architectural Designs for Control of Pedestrian Crowds.
ACAL
Pradyumn Kumar Shukla
2008 J jnl
A Levenberg-Marquardt algorithm for unconstrained multicriteria optimization.
Oper. Res. Lett.
Andreas Fischer, Pradyumn Kumar Shukla
2007 — conf
Exploiting Second Order Information in Computational Multi-objective Evolutionary Optimization.
EPIA Workshops
Pradyumn Kumar Shukla
2007 — conf
Gradient Based Stochastic Mutation Operators in Evolutionary Multi-objective Optimization.
ICANNGA (1)
Pradyumn Kumar Shukla
2007 Misc conf
In Search of Proper Pareto-optimal Solutions Using Multi-objective Evolutionary Algorithms.
International Conference on Computational Science (4)
Pradyumn Kumar Shukla
2007 C conf
On Gradient Based Local Search Methods in Unconstrained Evolutionary Multi-objective Optimization.
EMO
Pradyumn Kumar Shukla
2007 J jnl
On finding multiple Pareto-optimal solutions using classical and evolutionary generating methods.
Eur. J. Oper. Res.
Pradyumn Kumar Shukla, Kalyanmoy Deb
2007 Misc conf
On the Normal Boundary Intersection Method for Generation of Efficient Front.
International Conference on Computational Science (1)
Pradyumn Kumar Shukla
2007 J jnl
Specification of the Social Force Pedestrian Model by Evolutionary Adjustment to Video Tracking Data.
Adv. Complex Syst.
Anders Johansson, Dirk Helbing, Pradyumn Kumar Shukla
2005 C conf
Comparing Classical Generating Methods with an Evolutionary Multi-objective Optimization Method.
EMO
Pradyumn Kumar Shukla, Kalyanmoy Deb, Santosh Tiwari
2005 — conf
On Properly Pareto Optimal Solutions.
Practical Approaches to Multi-Objective Optimization
Pradyumn Kumar Shukla, Joydeep Dutta, Kalyanmoy Deb