Dhish Kumar Saxena

36 papers B 4C 7Journal 19Unranked 4
YearRankTypeTitle / Venue / Authors
2025 — conf
Machine Learning Assisted Evolutionary Multi-objective Optimization.
GECCO Companion
Kalyanmoy Deb, Dhish Kumar Saxena, Sukrit Mittal
2024 J jnl
A Unified Innovized Progress Operator for Performance Enhancement in Evolutionary Multi- and Many-Objective Optimization.
IEEE Trans. Evol. Comput.
Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb, Erik D. Goodman
2024 J jnl
Dynamic traffic signal control for heterogeneous traffic conditions using Max Pressure and Reinforcement Learning.
Expert Syst. Appl.
Amit Agarwal, Deorishabh Sahu, Rishabh Mohata, Kuldeep Jeengar, Anuj Nautiyal, Dhish Kumar Saxena
2024 — book
Machine Learning Assisted Evolutionary Multi- and Many-Objective Optimization
Dhish Kumar Saxena, Sukrit Mittal, Kalyanmoy Deb, Erik D. Goodman
2023 J jnl
A Localized High-Fidelity-Dominance-Based Many-Objective Evolutionary Algorithm.
IEEE Trans. Evol. Comput.
Dhish Kumar Saxena, Sukrit Mittal, Sarang Kapoor, Kalyanmoy Deb
2023 C conf
Investigating Innovized Progress Operators with Different Machine Learning Methods.
EMO
Drishti Bhasin, Sajag Swami, Sarthak Sharma, Saumya Sah, Dhish Kumar Saxena, Kalyanmoy Deb
2023 C conf
Real-World Airline Crew Pairing Optimization: Customized Genetic Algorithm Versus Column Generation Method.
EMO
Divyam Aggarwal, Dhish Kumar Saxena, Thomas Bäck, Michael Emmerich
2022 J jnl
A Learning-based
ACM Trans. Evol. Learn. Optim.
Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb, Erik D. Goodman
2022 J jnl
Enhanced Innovized Progress Operator for Evolutionary Multi- and Many-Objective Optimization.
IEEE Trans. Evol. Comput.
Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb, Erik D. Goodman
2021 C conf
Embedding a Repair Operator in Evolutionary Single and Multi-objective Algorithms - An Exploitation-Exploration Perspective.
EMO
Kalyanmoy Deb, Sukrit Mittal, Dhish Kumar Saxena, Erik D. Goodman
2021 J jnl
Online summarization of dynamic graphs using subjective interestingness for sequential data.
Data Min. Knowl. Discov.
Sarang Kapoor, Dhish Kumar Saxena, Matthijs van Leeuwen
2020 J jnl
A Novel Column Generation Heuristic for Airline Crew Pairing Optimization with Large-scale Complex Flight Networks.
CoRR
Divyam Aggarwal, Dhish Kumar Saxena, Thomas Bäck, Michael Emmerich
2020 B conf
A Unified Automated Innovization Framework Using Threshold-based Clustering.
CEC
Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb
2020 — conf
A generic and computationally efficient automated innovization method for power-law design rules.
GECCO Companion
Kanish Garg, Anish Mukherjee, Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb
2020 J jnl
A new replica placement strategy based on multi-objective optimisation for HDFS.
Int. J. Bio Inspired Comput.
Yangyang Li, Mengzhuo Tian, Yang Wang, Qingfu Zhang, Dhish Kumar Saxena, Licheng Jiao
2020 J jnl
AirCROP: Airline Crew Pairing Optimizer for Complex Flight Networks Involving Multiple Crew Bases & Billion-Plus Variables.
CoRR
Divyam Aggarwal, Dhish Kumar Saxena, Thomas Bäck, Michael Emmerich
2020 J jnl
Discovering subjectively interesting multigraph patterns.
Mach. Learn.
Sarang Kapoor, Dhish Kumar Saxena, Matthijs van Leeuwen
2020 J jnl
Enhanced Innovized Repair Operator for Evolutionary Multi- and Many-objective Optimization.
CoRR
Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb, Erik D. Goodman
2020 — conf
Learning-based multi-objective optimization through ANN-assisted online
GECCO Companion
Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb
2020 J jnl
On Initializing Airline Crew Pairing Optimization for Large-scale Complex Flight Networks.
CoRR
Divyam Aggarwal, Dhish Kumar Saxena, Thomas Bäck, Michael Emmerich
2020 J jnl
On Learning Combinatorial Patterns to Assist Large-Scale Airline Crew Pairing Optimization.
CoRR
Divyam Aggarwal, Yash Kumar Singh, Dhish Kumar Saxena
2020 J jnl
Real-World Airline Crew Pairing Optimization: Customized Genetic Algorithm versus Column Generation Method.
CoRR
Divyam Aggarwal, Dhish Kumar Saxena, Thomas Bäck, Michael Emmerich
2019 C conf
On Timing the Nadir-Point Estimation and/or Termination of Reference-Based Multi- and Many-objective Evolutionary Algorithms.
EMO
Dhish Kumar Saxena, Sarang Kapoor
2018 — conf
On Large-Scale Airline Crew Pairing Generation.
SSCI
Divyam Aggarwal, Dhish Kumar Saxena, Michael Emmerich, Saaju Paulose
2017 C conf
Timing the Decision Support for Real-World Many-Objective Optimization Problems.
EMO
João A. Duro, Dhish Kumar Saxena
2016 J jnl
Entropy-Based Termination Criterion for Multiobjective Evolutionary Algorithms.
IEEE Trans. Evol. Comput.
Dhish Kumar Saxena, Arnab Sinha, João A. Duro, Qingfu Zhang
2014 J jnl
Machine learning based decision support for many-objective optimization problems.
Neurocomputing
João A. Duro, Dhish Kumar Saxena, Kalyanmoy Deb, Qingfu Zhang
2013 J jnl
Objective Reduction in Many-Objective Optimization: Linear and Nonlinear Algorithms.
IEEE Trans. Evol. Comput.
Dhish Kumar Saxena, João A. Duro, Ashutosh Tiwari, Kalyanmoy Deb, Qingfu Zhang
2013 J jnl
Using objective reduction and interactive procedure to handle many-objective optimization problems.
Appl. Soft Comput.
Ankur Sinha, Dhish Kumar Saxena, Kalyanmoy Deb, Ashutosh Tiwari
2012 J jnl
An evolutionary multi-objective framework for business process optimisation.
Appl. Soft Comput.
Kostas Vergidis, Dhish Kumar Saxena, Ashutosh Tiwari
2011 C conf
Framework for Many-Objective Test Problems with Both Simple and Complicated Pareto-Set Shapes.
EMO
Dhish Kumar Saxena, Qingfu Zhang, João A. Duro, Ashutosh Tiwari
2009 B conf
Constrained many-objective optimization: A way forward.
IEEE Congress on Evolutionary Computation
Dhish Kumar Saxena, Tapabrata Ray, Kalyanmoy Deb, Ashutosh Tiwari
2008 B conf
Dimensionality reduction of objectives and constraints in multi-objective optimization problems: A system design perspective.
IEEE Congress on Evolutionary Computation
Dhish Kumar Saxena, Kalyanmoy Deb
2008 — ch.
On Handling a Large Number of Objectives A Posteriori and During Optimization.
Multiobjective Problem Solving from Nature
Dimo Brockhoff, Dhish Kumar Saxena, Kalyanmoy Deb, Eckart Zitzler
2007 C conf
Non-linear Dimensionality Reduction Procedures for Certain Large-Dimensional Multi-objective Optimization Problems: Employing Correntropy and a Novel Maximum Variance Unfolding.
EMO
Dhish Kumar Saxena, Kalyanmoy Deb
2007 B conf
Trading on infeasibility by exploiting constraint's criticality through multi-objectivization: A system design perspective.
IEEE Congress on Evolutionary Computation
Dhish Kumar Saxena, Kalyanmoy Deb