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Dhish Kumar Saxena
Dhish Kumar Saxena
Professor, Department of Mechanical & Industrial Eng.; Mehta Family School of DS & AI, IIT Roorkee
Verified email at iitr.ac.in - Homepage
Title
Cited by
Cited by
Year
Objective reduction in many-objective optimization: Linear and nonlinear algorithms
DK Saxena, JA Duro, A Tiwari, K Deb, Q Zhang
IEEE Transactions on Evolutionary Computation 17 (1), 77-99, 2012
3262012
Searching for Pareto-optimal solutions through dimensionality reduction for certain large-dimensional multi-objective optimization problems
K Deb, D Saxena
Proceedings of the world congress on computational intelligence (WCCI-2006 …, 2006
3152006
On finding pareto-optimal solutions through dimensionality reduction for certain large-dimensional multi-objective optimization problems
K Deb, DK Saxena
Kangal report 2005011, 1-19, 2005
2582005
Non-linear dimensionality reduction procedures for certain large-dimensional multi-objective optimization problems: Employing correntropy and a novel maximum variance unfolding
DK Saxena, K Deb
International Conference on Evolutionary Multi-Criterion Optimization, 772-787, 2007
1472007
An evolutionary multi-objective framework for business process optimisation
K Vergidis, D Saxena, A Tiwari
Applied Soft Computing 12 (8), 2638-2653, 2012
492012
Framework for many-objective test problems with both simple and complicated Pareto-set shapes
DK Saxena, Q Zhang, JA Duro, A Tiwari
Evolutionary Multi-Criterion Optimization: 6th International Conference, EMO …, 2011
492011
Using objective reduction and interactive procedure to handle many-objective optimization problems
A Sinha, DK Saxena, K Deb, A Tiwari
Applied Soft Computing 13 (1), 415-427, 2013
472013
On handling a large number of objectives a posteriori and during optimization
D Brockhoff, DK Saxena, K Deb, E Zitzler
Multiobjective problem solving from nature: From concepts to applications …, 2008
452008
Constrained many-objective optimization: A way forward
DK Saxena, T Ray, K Deb, A Tiwari
2009 IEEE Congress on Evolutionary Computation, 545-552, 2009
412009
Dimensionality reduction of objectives and constraints in multi-objective optimization problems: A system design perspective
DK Saxena, K Deb
2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on …, 2008
402008
Trading on infeasibility by exploiting constraint’s criticality through multi-objectivization: A system design perspective
DK Saxena, K Deb
2007 IEEE Congress on Evolutionary Computation, 919-926, 2007
362007
Machine learning based decision support for many-objective optimization problems
JA Duro, DK Saxena, K Deb, Q Zhang
Neurocomputing 146, 30-47, 2014
322014
Entropy-based termination criterion for multiobjective evolutionary algorithms
DK Saxena, A Sinha, JA Duro, Q Zhang
IEEE Transactions on Evolutionary Computation 20 (4), 485-498, 2015
312015
Enhanced Innovized Progress Operator for Evolutionary Multi- and Many-Objective Optimization
S Mittal, DK Saxena, K Deb, ED Goodman
IEEE Transactions on Evolutionary Computation 26 (5), 961-975, 2021
192021
A Learning-based Innovized Progress Operator for Faster Convergence in Evolutionary Multi-objective Optimization
S Mittal, DK Saxena, K Deb, ED Goodman
ACM Transactions on Evolutionary Learning and Optimization (TELO) 2 (1), 1-29, 2021
182021
Learning-based multi-objective optimization through ANN-assisted online Innovization
S Mittal, DK Saxena, K Deb
Proceedings of the 2020 genetic and evolutionary computation conference …, 2020
152020
On large-scale airline crew pairing generation
D Aggarwal, DK Saxena, M Emmerich, S Paulose
2018 ieee symposium series on computational intelligence (ssci), 593-600, 2018
142018
Real-world airline crew pairing optimization: customized genetic algorithm versus column generation method
D Aggarwal, DK Saxena, T Bäck, M Emmerich
International Conference on Evolutionary Multi-Criterion Optimization, 518-531, 2023
122023
A new replica placement strategy based on multi-objective optimisation for HDFS
Y Li, M Tian, Y Wang, Q Zhang, DK Saxena, L Jiao
International Journal of Bio-Inspired Computation 16 (1), 13-22, 2020
122020
A localized high-fidelity-dominance based many-objective evolutionary algorithm
DK Saxena, S Mittal, S Kapoor, K Deb
IEEE Transactions on Evolutionary Computation, 2022
92022
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