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 | 634 | 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 | 225 | 2007 |
On the normal boundary intersection method for generation of efficient front PK Shukla Computational Science–ICCS 2007: 7th International Conference, Beijing …, 2007 | 65 | 2007 |
Comparing classical generating methods with an evolutionary multi-objective optimization method PK Shukla, K Deb, S Tiwari International Conference on Evolutionary Multi-Criterion Optimization, 311-325, 2005 | 64 | 2005 |
On gradient based local search methods in unconstrained evolutionary multi-objective optimization PK Shukla International Conference on Evolutionary Multi-Criterion Optimization, 96-110, 2007 | 46 | 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 | 46 | 2006 |
On the inexactness level of robust Levenberg–Marquardt methods A Fischer, PK Shukla, M Wang Optimization 59 (2), 273-287, 2010 | 41 | 2010 |
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 | 39 | 2012 |
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 | 37 | 2008 |
A Levenberg–Marquardt algorithm for unconstrained multicriteria optimization A Fischer, PK Shukla Operations Research Letters 36 (5), 643-646, 2008 | 36 | 2008 |
Theory and algorithms for finding knees PK Shukla, MA Braun, H Schmeck Evolutionary Multi-Criterion Optimization: 7th International Conference, EMO …, 2013 | 32 | 2013 |
Variable preference modeling using multi-objective evolutionary algorithms C Hirsch, PK Shukla, H Schmeck International Conference on Evolutionary Multi-Criterion Optimization, 91-105, 2011 | 32 | 2011 |
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 | 28 | 2013 |
A framework for incorporating trade-off information using multi-objective evolutionary algorithms PK Shukla, C Hirsch, H Schmeck International Conference on Parallel Problem Solving from Nature, 131-140, 2010 | 28 | 2010 |
Genetically optimized architectural designs for control of pedestrian crowds PK Shukla Artificial Life: Borrowing from Biology: 4th Australian Conference, ACAL …, 2009 | 28 | 2009 |
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 | 24 | 2015 |
Angle-based preference models in multi-objective optimization M Braun, P Shukla, H Schmeck Evolutionary Multi-Criterion Optimization: 9th International Conference, EMO …, 2017 | 23 | 2017 |
In search of equitable solutions using multi-objective evolutionary algorithms PK Shukla, C Hirsch, H Schmeck International Conference on Parallel Problem Solving from Nature, 687-696, 2010 | 22 | 2010 |
Indicator based search in variable orderings: theory and algorithms PK Shukla, MA Braun Evolutionary Multi-Criterion Optimization: 7th International Conference, EMO …, 2013 | 21 | 2013 |
Gradient based stochastic mutation operators in evolutionary multi-objective optimization PK Shukla International Conference on Adaptive and Natural Computing Algorithms, 58-66, 2007 | 21 | 2007 |