Pradyumn Kumar Shukla

According to our database, Pradyumn Kumar Shukla authored at least 33 papers between 2005 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2022

Approximations for Pareto and Proper Pareto solutions and their KKT conditions.

Poonam Kesarwani, Pradyumn Kumar Shukla, Joydeep Dutta, Kalyanmoy Deb

Math. Methods Oper. Res., 2022

2019

Line-prioritized environmental selection and normalization scheme for many-objective optimization using reference-lines-based framework.

Deepak Sharma, Pradyumn Kumar Shukla

Swarm Evol. Comput., 2019

2017

Multimodal scalarized preferences in multi-objective optimization.

Marlon Alexander Braun, Lars Heling, Pradyumn Kumar Shukla, Hartmut Schmeck

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Angle-Based Preference Models in Multi-objective Optimization.

Marlon Alexander Braun, Pradyumn Kumar Shukla, Hartmut Schmeck

Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

2016

A neuro-genetic approach for modeling and optimizing a complex cogeneration process.

Marlon Alexander Braun, S. Seijo, Javier Echanobe, Pradyumn Kumar Shukla, Inés del Campo, Javier A. García-Sedano, Hartmut Schmeck

Appl. Soft Comput., 2016

2015

Obtaining Optimal Pareto Front Approximations using Scalarized Preference Information.

Marlon Alexander Braun, Pradyumn Kumar Shukla, Hartmut Schmeck

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

2014

A theoretical analysis of volume based Pareto front approximations.

Pradyumn Kumar Shukla, Nadja Doll, Hartmut Schmeck

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

On homogenization of coal in longitudinal blending beds.

Pradyumn Kumar Shukla, Michael P. Cipold, Claus C. Bachmann, Hartmut Schmeck

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

On the interrelationships between knees and aggregate objective functions.

Pradyumn Kumar Shukla, Marlon Alexander Braun, Hartmut Schmeck

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013

A Theoretical Analysis of Curvature Based Preference Models.

Pradyumn Kumar Shukla, Michael Emmerich, André H. Deutz

Proceedings of the Evolutionary Multi-Criterion Optimization, 2013

Theory and Algorithms for Finding Knees.

Pradyumn Kumar Shukla, Marlon Alexander Braun, Hartmut Schmeck

Proceedings of the Evolutionary Multi-Criterion Optimization, 2013

Indicator Based Search in Variable Orderings: Theory and Algorithms.

Pradyumn Kumar Shukla, Marlon Alexander Braun

Proceedings of the Evolutionary Multi-Criterion Optimization, 2013

Cone-Based Hypervolume Indicators: Construction, Properties, and Efficient Computation.

Michael Emmerich, André H. Deutz, Johannes W. Kruisselbrink, Pradyumn Kumar Shukla

Proceedings of the Evolutionary Multi-Criterion Optimization, 2013

2012

An Evolutionary Optimization Approach for Bulk Material Blending Systems.

Michael P. Cipold, Pradyumn Kumar Shukla, Claus C. Bachmann, Kaibin Bao, Hartmut Schmeck

Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Towards a Deeper Understanding of Trade-offs Using Multi-objective Evolutionary Algorithms.

Pradyumn Kumar Shukla, Christian Hirsch, Hartmut Schmeck

Proceedings of the Applications of Evolutionary Computation, 2012

Electrical Load Management in Smart Homes Using Evolutionary Algorithms.

Florian Allerding, Marc Premm, Pradyumn Kumar Shukla, Hartmut Schmeck

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2012

2011

Variable Preference Modeling Using Multi-Objective Evolutionary Algorithms.

Christian Hirsch, Pradyumn Kumar Shukla, Hartmut Schmeck

Proceedings of the Evolutionary Multi-Criterion Optimization, 2011

Preference Ranking Schemes in Multi-Objective Evolutionary Algorithms.

Marlon Alexander Braun, Pradyumn Kumar Shukla, Hartmut Schmeck

Proceedings of the Evolutionary Multi-Criterion Optimization, 2011

2010

Levenberg-Marquardt Algorithms for Nonlinear Equations, Multi-objective Optimization, and Complementarity Problems

Pradyumn Kumar Shukla

PhD thesis, 2010

A Framework for Incorporating Trade-Off Information Using Multi-Objective Evolutionary Algorithms.

Pradyumn Kumar Shukla, Christian Hirsch, Hartmut Schmeck

Proceedings of the Parallel Problem Solving from Nature, 2010

In Search of Equitable Solutions Using Multi-objective Evolutionary Algorithms.

Pradyumn Kumar Shukla, Christian Hirsch, Hartmut Schmeck

Proceedings of the Parallel Problem Solving from Nature, 2010

On Modeling and Evolutionary Optimization of Nonlinearly Coupled Pedestrian Interactions.

Pradyumn Kumar Shukla

Proceedings of the Applications of Evolutionary Computation, 2010

2009

Genetically Optimized Architectural Designs for Control of Pedestrian Crowds.

Pradyumn Kumar Shukla

Proceedings of the Artificial Life: Borrowing from Biology, 4th Australian Conference, 2009

2008

A Levenberg-Marquardt algorithm for unconstrained multicriteria optimization.

Andreas Fischer, Pradyumn Kumar Shukla

Oper. Res. Lett., 2008

2007

On finding multiple Pareto-optimal solutions using classical and evolutionary generating methods.

Pradyumn Kumar Shukla, Kalyanmoy Deb

Eur. J. Oper. Res., 2007

Specification of the Social Force Pedestrian Model by Evolutionary Adjustment to Video Tracking Data.

Anders Johansson, Dirk Helbing, Pradyumn Kumar Shukla

Adv. Complex Syst., 2007

On the Normal Boundary Intersection Method for Generation of Efficient Front.

Pradyumn Kumar Shukla

Proceedings of the Computational Science, 2007

In Search of Proper Pareto-optimal Solutions Using Multi-objective Evolutionary Algorithms.

Pradyumn Kumar Shukla

Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007

Gradient Based Stochastic Mutation Operators in Evolutionary Multi-objective Optimization.

Pradyumn Kumar Shukla

Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

Exploiting Second Order Information in Computational Multi-objective Evolutionary Optimization.

Pradyumn Kumar Shukla

Proceedings of the Progress in Artificial Intelligence, 2007

On Gradient Based Local Search Methods in Unconstrained Evolutionary Multi-objective Optimization.

Pradyumn Kumar Shukla

Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2007

2005

Comparing Classical Generating Methods with an Evolutionary Multi-objective Optimization Method.

Pradyumn Kumar Shukla, Kalyanmoy Deb, Santosh Tiwari

Proceedings of the Evolutionary Multi-Criterion Optimization, 2005

On Properly Pareto Optimal Solutions.

Pradyumn Kumar Shukla, Joydeep Dutta, Kalyanmoy Deb

Proceedings of the Practical Approaches to Multi-Objective Optimization, 2005