Dhish Kumar Saxena

According to our database, Dhish Kumar Saxena authored at least 31 papers between 2007 and 2023.

Collaborative distances:

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

2023

A Localized High-Fidelity-Dominance-Based Many-Objective Evolutionary Algorithm.

Dhish Kumar Saxena, Sukrit Mittal, Sarang Kapoor, Kalyanmoy Deb

IEEE Trans. Evol. Comput., 2023

Investigating Innovized Progress Operators with Different Machine Learning Methods.

Drishti Bhasin, Sajag Swami, Sarthak Sharma, Saumya Sah, Dhish Kumar Saxena, Kalyanmoy Deb

Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

Real-World Airline Crew Pairing Optimization: Customized Genetic Algorithm Versus Column Generation Method.

Divyam Aggarwal, Dhish Kumar Saxena, Thomas Bäck, Michael Emmerich

Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

2022

A Learning-based <i>Innovized</i> Progress Operator for Faster Convergence in Evolutionary Multi-objective Optimization.

Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb, Erik D. Goodman

ACM Trans. Evol. Learn. Optim., 2022

Enhanced Innovized Progress Operator for Evolutionary Multi- and Many-Objective Optimization.

Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb, Erik D. Goodman

IEEE Trans. Evol. Comput., 2022

2021

Online summarization of dynamic graphs using subjective interestingness for sequential data.

Sarang Kapoor, Dhish Kumar Saxena, Matthijs van Leeuwen

Data Min. Knowl. Discov., 2021

Embedding a Repair Operator in Evolutionary Single and Multi-objective Algorithms - An Exploitation-Exploration Perspective.

Kalyanmoy Deb, Sukrit Mittal, Dhish Kumar Saxena, Erik D. Goodman

Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

2020

Discovering subjectively interesting multigraph patterns.

Sarang Kapoor, Dhish Kumar Saxena, Matthijs van Leeuwen

Mach. Learn., 2020

A new replica placement strategy based on multi-objective optimisation for HDFS.

Yangyang Li, Mengzhuo Tian, Yang Wang, Qingfu Zhang, Dhish Kumar Saxena, Licheng Jiao

Int. J. Bio Inspired Comput., 2020

Enhanced Innovized Repair Operator for Evolutionary Multi- and Many-objective Optimization.

Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb, Erik D. Goodman

CoRR, 2020

A Novel Column Generation Heuristic for Airline Crew Pairing Optimization with Large-scale Complex Flight Networks.

Divyam Aggarwal, Dhish Kumar Saxena, Thomas Bäck, Michael Emmerich

CoRR, 2020

On Learning Combinatorial Patterns to Assist Large-Scale Airline Crew Pairing Optimization.

Divyam Aggarwal, Yash Kumar Singh, Dhish Kumar Saxena

CoRR, 2020

On Initializing Airline Crew Pairing Optimization for Large-scale Complex Flight Networks.

Divyam Aggarwal, Dhish Kumar Saxena, Thomas Bäck, Michael Emmerich

CoRR, 2020

AirCROP: Airline Crew Pairing Optimizer for Complex Flight Networks Involving Multiple Crew Bases & Billion-Plus Variables.

Divyam Aggarwal, Dhish Kumar Saxena, Thomas Bäck, Michael Emmerich

CoRR, 2020

Learning-based multi-objective optimization through ANN-assisted online <i>Innovization</i>.

Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

A generic and computationally efficient automated innovization method for power-law design rules.

Kanish Garg, Anish Mukherjee, Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

A Unified Automated Innovization Framework Using Threshold-based Clustering.

Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

On Timing the Nadir-Point Estimation and/or Termination of Reference-Based Multi- and Many-objective Evolutionary Algorithms.

Dhish Kumar Saxena, Sarang Kapoor

Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

2018

On Large-Scale Airline Crew Pairing Generation.

Divyam Aggarwal, Dhish Kumar Saxena, Michael Emmerich, Saaju Paulose

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

2017

Timing the Decision Support for Real-World Many-Objective Optimization Problems.

João A. Duro, Dhish Kumar Saxena

Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

2016

Entropy-Based Termination Criterion for Multiobjective Evolutionary Algorithms.

Dhish Kumar Saxena, Arnab Sinha, João A. Duro, Qingfu Zhang

IEEE Trans. Evol. Comput., 2016

2014

Machine learning based decision support for many-objective optimization problems.

João A. Duro, Dhish Kumar Saxena, Kalyanmoy Deb, Qingfu Zhang

Neurocomputing, 2014

2013

Objective Reduction in Many-Objective Optimization: Linear and Nonlinear Algorithms.

Dhish Kumar Saxena, João A. Duro, Ashutosh Tiwari, Kalyanmoy Deb, Qingfu Zhang

IEEE Trans. Evol. Comput., 2013

Using objective reduction and interactive procedure to handle many-objective optimization problems.

Ankur Sinha, Dhish Kumar Saxena, Kalyanmoy Deb, Ashutosh Tiwari

Appl. Soft Comput., 2013

2012

An evolutionary multi-objective framework for business process optimisation.

Kostas Vergidis, Dhish Kumar Saxena, Ashutosh Tiwari

Appl. Soft Comput., 2012

2011

Framework for Many-Objective Test Problems with Both Simple and Complicated Pareto-Set Shapes.

Dhish Kumar Saxena, Qingfu Zhang, João A. Duro, Ashutosh Tiwari

Proceedings of the Evolutionary Multi-Criterion Optimization, 2011

2009

Constrained many-objective optimization: A way forward.

Dhish Kumar Saxena, Tapabrata Ray, Kalyanmoy Deb, Ashutosh Tiwari

Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008

Dimensionality reduction of objectives and constraints in multi-objective optimization problems: A system design perspective.

Dhish Kumar Saxena, Kalyanmoy Deb

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

On Handling a Large Number of Objectives A Posteriori and During Optimization.

Dimo Brockhoff, Dhish Kumar Saxena, Kalyanmoy Deb, Eckart Zitzler

Proceedings of the Multiobjective Problem Solving from Nature, 2008

2007

Non-linear Dimensionality Reduction Procedures for Certain Large-Dimensional Multi-objective Optimization Problems: Employing Correntropy and a Novel Maximum Variance Unfolding.

Dhish Kumar Saxena, Kalyanmoy Deb

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

Trading on infeasibility by exploiting constraint's criticality through multi-objectivization: A system design perspective.

Dhish Kumar Saxena, Kalyanmoy Deb

Proceedings of the IEEE Congress on Evolutionary Computation, 2007