Pradyumn Kumar Shukla

Publication Activity (10 Years)

Years Active: 2005-2022
Publications (10 Years): 5

Top Topics

Pareto Optimality

Multi Objective Genetic Algorithm

Preference Models

Top Venues

GECCO (Companion)

Swarm Evol. Comput.

Publications

Poonam Kesarwani, Pradyumn Kumar Shukla, Joydeep Dutta, Kalyanmoy Deb
Approximations for Pareto and Proper Pareto solutions and their KKT conditions. Math. Methods Oper. Res. 96 (1) (2022)
Deepak Sharma, Pradyumn Kumar Shukla
Line-prioritized environmental selection and normalization scheme for many-objective optimization using reference-lines-based framework. Swarm Evol. Comput. 51 (2019)
Marlon Alexander Braun, Lars Heling, Pradyumn Kumar Shukla, Hartmut Schmeck
Multimodal scalarized preferences in multi-objective optimization. GECCO (2017)
Marlon Alexander Braun, Pradyumn Kumar Shukla, Hartmut Schmeck
Angle-Based Preference Models in Multi-objective Optimization. EMO (2017)
Marlon Alexander Braun, S. Seijo, Javier Echanobe, Pradyumn Kumar Shukla, Inés del Campo, Javier A. García-Sedano, Hartmut Schmeck
A neuro-genetic approach for modeling and optimizing a complex cogeneration process. Appl. Soft Comput. 48 (2016)
Marlon Alexander Braun, Pradyumn Kumar Shukla, Hartmut Schmeck
Obtaining Optimal Pareto Front Approximations using Scalarized Preference Information. GECCO (2015)
Pradyumn Kumar Shukla, Michael P. Cipold, Claus C. Bachmann, Hartmut Schmeck
On homogenization of coal in longitudinal blending beds. GECCO (2014)
Pradyumn Kumar Shukla, Marlon Alexander Braun, Hartmut Schmeck
On the interrelationships between knees and aggregate objective functions. GECCO (Companion) (2014)
Pradyumn Kumar Shukla, Nadja Doll, Hartmut Schmeck
A theoretical analysis of volume based Pareto front approximations. GECCO (2014)
Michael Emmerich, André H. Deutz, Johannes W. Kruisselbrink, Pradyumn Kumar Shukla
Cone-Based Hypervolume Indicators: Construction, Properties, and Efficient Computation. EMO (2013)
Pradyumn Kumar Shukla, Michael Emmerich, André H. Deutz
A Theoretical Analysis of Curvature Based Preference Models. EMO (2013)
Pradyumn Kumar Shukla, Marlon Alexander Braun, Hartmut Schmeck
Theory and Algorithms for Finding Knees. EMO (2013)
Pradyumn Kumar Shukla, Marlon Alexander Braun
Indicator Based Search in Variable Orderings: Theory and Algorithms. EMO (2013)
Florian Allerding, Marc Premm, Pradyumn Kumar Shukla, Hartmut Schmeck
Electrical Load Management in Smart Homes Using Evolutionary Algorithms. EvoCOP (2012)
Michael P. Cipold, Pradyumn Kumar Shukla, Claus C. Bachmann, Kaibin Bao, Hartmut Schmeck
An Evolutionary Optimization Approach for Bulk Material Blending Systems. PPSN (1) (2012)
Pradyumn Kumar Shukla, Christian Hirsch, Hartmut Schmeck
Towards a Deeper Understanding of Trade-offs Using Multi-objective Evolutionary Algorithms. EvoApplications (2012)
Marlon Alexander Braun, Pradyumn Kumar Shukla, Hartmut Schmeck
Preference Ranking Schemes in Multi-Objective Evolutionary Algorithms. EMO (2011)
Christian Hirsch, Pradyumn Kumar Shukla, Hartmut Schmeck
Variable Preference Modeling Using Multi-Objective Evolutionary Algorithms. EMO (2011)
Pradyumn Kumar Shukla, Christian Hirsch, Hartmut Schmeck
In Search of Equitable Solutions Using Multi-objective Evolutionary Algorithms. PPSN (1) (2010)
Pradyumn Kumar Shukla, Christian Hirsch, Hartmut Schmeck
A Framework for Incorporating Trade-Off Information Using Multi-Objective Evolutionary Algorithms. PPSN (2) (2010)
Pradyumn Kumar Shukla
On Modeling and Evolutionary Optimization of Nonlinearly Coupled Pedestrian Interactions. EvoApplications (1) (2010)
Pradyumn Kumar Shukla
Genetically Optimized Architectural Designs for Control of Pedestrian Crowds. ACAL (2009)
Andreas Fischer, Pradyumn Kumar Shukla
A Levenberg-Marquardt algorithm for unconstrained multicriteria optimization. Oper. Res. Lett. 36 (5) (2008)
Pradyumn Kumar Shukla
Gradient Based Stochastic Mutation Operators in Evolutionary Multi-objective Optimization. ICANNGA (1) (2007)
Pradyumn Kumar Shukla, Kalyanmoy Deb
On finding multiple Pareto-optimal solutions using classical and evolutionary generating methods. Eur. J. Oper. Res. 181 (3) (2007)
Pradyumn Kumar Shukla
Exploiting Second Order Information in Computational Multi-objective Evolutionary Optimization. EPIA Workshops (2007)
Pradyumn Kumar Shukla
In Search of Proper Pareto-optimal Solutions Using Multi-objective Evolutionary Algorithms. International Conference on Computational Science (4) (2007)
Pradyumn Kumar Shukla
On the Normal Boundary Intersection Method for Generation of Efficient Front. International Conference on Computational Science (1) (2007)
Anders Johansson, Dirk Helbing, Pradyumn Kumar Shukla
Specification of the Social Force Pedestrian Model by Evolutionary Adjustment to Video Tracking Data. Adv. Complex Syst. 10 (supp02) (2007)
Pradyumn Kumar Shukla
On Gradient Based Local Search Methods in Unconstrained Evolutionary Multi-objective Optimization. EMO (2006)
Pradyumn Kumar Shukla, Kalyanmoy Deb, Santosh Tiwari
Comparing Classical Generating Methods with an Evolutionary Multi-objective Optimization Method. EMO (2005)
Pradyumn Kumar Shukla, Joydeep Dutta, Kalyanmoy Deb
On Properly Pareto Optimal Solutions. Practical Approaches to Multi-Objective Optimization (2005)