On Properly Pareto Optimal Solutions. - Pradyumn Kumar Shukla; Joydeep Dutta; Kalyanmoy Deb (Practical Approaches to Multi-Objective Optimization, 2005)

Comparing Classical Generating Methods with an Evolutionary Multi-objective Optimization Method. - Pradyumn Kumar Shukla; Kalyanmoy Deb; Santosh Tiwari (EMO, 2005)

On Gradient Based Local Search Methods in Unconstrained Evolutionary Multi-objective Optimization. - Pradyumn Kumar Shukla (EMO, 2007)

Exploiting Second Order Information in Computational Multi-objective Evolutionary Optimization. - Pradyumn Kumar Shukla (EPIA Workshops, 2007)

Gradient Based Stochastic Mutation Operators in Evolutionary Multi-objective Optimization. - Pradyumn Kumar Shukla (ICANNGA (1), 2007)

In Search of Proper Pareto-optimal Solutions Using Multi-objective Evolutionary Algorithms. - Pradyumn Kumar Shukla (International Conference on Computational Science (4), 2007)

On the Normal Boundary Intersection Method for Generation of Efficient Front. - Pradyumn Kumar Shukla (International Conference on Computational Science (1), 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 finding multiple Pareto-optimal solutions using classical and evolutionary generating methods. - Pradyumn Kumar Shukla; Kalyanmoy Deb (Eur. J. Oper. Res., 2007)

A Levenberg-Marquardt algorithm for unconstrained multicriteria optimization. - Andreas Fischer 004; Pradyumn Kumar Shukla (Oper. Res. Lett., 2008)

Genetically Optimized Architectural Designs for Control of Pedestrian Crowds. - Pradyumn Kumar Shukla (ACAL, 2009)

On Modeling and Evolutionary Optimization of Nonlinearly Coupled Pedestrian Interactions. - Pradyumn Kumar Shukla (EvoApplications (1), 2010)

In Search of Equitable Solutions Using Multi-objective Evolutionary Algorithms. - Pradyumn Kumar Shukla; Christian Hirsch; Hartmut Schmeck (PPSN (1), 2010)

A Framework for Incorporating Trade-Off Information Using Multi-Objective Evolutionary Algorithms. - Pradyumn Kumar Shukla; Christian Hirsch; Hartmut Schmeck (PPSN (2), 2010)

Levenberg-Marquardt Algorithms for Nonlinear Equations, Multi-objective Optimization, and Complementarity Problems - Pradyumn Kumar Shukla (2010)

Preference Ranking Schemes in Multi-Objective Evolutionary Algorithms. - Marlon Alexander Braun; Pradyumn Kumar Shukla; Hartmut Schmeck (EMO, 2011)

Variable Preference Modeling Using Multi-Objective Evolutionary Algorithms. - Christian Hirsch; Pradyumn Kumar Shukla; Hartmut Schmeck (EMO, 2011)

Electrical Load Management in Smart Homes Using Evolutionary Algorithms. - Florian Allerding; Marc Premm; Pradyumn Kumar Shukla; Hartmut Schmeck (EvoCOP, 2012)

Towards a Deeper Understanding of Trade-offs Using Multi-objective Evolutionary Algorithms. - Pradyumn Kumar Shukla; Christian Hirsch; Hartmut Schmeck (EvoApplications, 2012)

An Evolutionary Optimization Approach for Bulk Material Blending Systems. - Michael P. Cipold; Pradyumn Kumar Shukla; Claus C. Bachmann; Kaibin Bao; Hartmut Schmeck (PPSN (1), 2012)

Cone-Based Hypervolume Indicators: Construction, Properties, and Efficient Computation. - Michael Emmerich 001; André H. Deutz; Johannes W. Kruisselbrink; Pradyumn Kumar Shukla (EMO, 2013)

Indicator Based Search in Variable Orderings: Theory and Algorithms. - Pradyumn Kumar Shukla; Marlon Alexander Braun (EMO, 2013)

Theory and Algorithms for Finding Knees. - Pradyumn Kumar Shukla; Marlon Alexander Braun; Hartmut Schmeck (EMO, 2013)

A Theoretical Analysis of Curvature Based Preference Models. - Pradyumn Kumar Shukla; Michael Emmerich 001; André H. Deutz (EMO, 2013)

On the interrelationships between knees and aggregate objective functions. - Pradyumn Kumar Shukla; Marlon Alexander Braun; Hartmut Schmeck (GECCO (Companion), 2014)

On homogenization of coal in longitudinal blending beds. - Pradyumn Kumar Shukla; Michael P. Cipold; Claus C. Bachmann; Hartmut Schmeck (GECCO, 2014)

A theoretical analysis of volume based Pareto front approximations. - Pradyumn Kumar Shukla; Nadja Doll; Hartmut Schmeck (GECCO, 2014)

Obtaining Optimal Pareto Front Approximations using Scalarized Preference Information. - Marlon Alexander Braun; Pradyumn Kumar Shukla; Hartmut Schmeck (GECCO, 2015)

A neuro-genetic approach for modeling and optimizing a complex cogeneration process. - Marlon Alexander Braun; Sandra Seijo; Javier Echanobe; Pradyumn Kumar Shukla; Inés del Campo; Javier A. García-Sedano; Hartmut Schmeck (Appl. Soft Comput., 2016)

Angle-Based Preference Models in Multi-objective Optimization. - Marlon Alexander Braun; Pradyumn Kumar Shukla; Hartmut Schmeck (EMO, 2017)

Multimodal scalarized preferences in multi-objective optimization. - Marlon Alexander Braun; Lars Heling; Pradyumn Kumar Shukla; Hartmut Schmeck (GECCO, 2017)

Line-prioritized environmental selection and normalization scheme for many-objective optimization using reference-lines-based framework. - Deepak Sharma 001; Pradyumn Kumar Shukla (Swarm Evol. Comput., 2019)

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)

On Solving the Capacitated Vehicle Routing Problem with Time Windows using Quantum Annealing. - Axel Vargas; Pradyumn Kumar Shukla; Richard Allmendinger 001; Andreas Jaeger (GECCO Companion, 2024)

On cone-based decompositions of proper Pareto-optimality in multi-objective optimization. - Marlon Braun; Pradyumn Kumar Shukla (Eur. J. Oper. Res., 2024)

Multi-objective Sequential Decision Making for Holistic Supply Chain Optimization. - Rifny Rachman; Josh C. Tingey; Richard Allmendinger 001; Pradyumn Kumar Shukla; Wei Pan 004 (EMO (1), 2025)

Reinforcement Learning for Multi-Objective Multi-Echelon Supply Chain Optimisation. - Rifny Rachman; Josh C. Tingey; Richard Allmendinger 001; Pradyumn Kumar Shukla; Wei Pan 004 (CoRR, 2025)