Dhish Kumar Saxena

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 23

Top Topics

Multiobjective Evolutionary Algorithms

Column Generation

Top Venues

IEEE Trans. Evol. Comput.

GECCO Companion

Publications

Amit Agarwal, Deorishabh Sahu, Rishabh Mohata, Kuldeep Jeengar, Anuj Nautiyal, Dhish Kumar Saxena
Dynamic traffic signal control for heterogeneous traffic conditions using Max Pressure and Reinforcement Learning. Expert Syst. Appl. 254 (2024)
Drishti Bhasin, Sajag Swami, Sarthak Sharma, Saumya Sah, Dhish Kumar Saxena, Kalyanmoy Deb
Investigating Innovized Progress Operators with Different Machine Learning Methods. EMO (2023)
Dhish Kumar Saxena, Sukrit Mittal, Sarang Kapoor, Kalyanmoy Deb
A Localized High-Fidelity-Dominance-Based Many-Objective Evolutionary Algorithm. IEEE Trans. Evol. Comput. 27 (4) (2023)
Divyam Aggarwal, Dhish Kumar Saxena, Thomas Bäck, Michael Emmerich
Real-World Airline Crew Pairing Optimization: Customized Genetic Algorithm Versus Column Generation Method. EMO (2023)
Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb, Erik D. Goodman
Enhanced Innovized Progress Operator for Evolutionary Multi- and Many-Objective Optimization. IEEE Trans. Evol. Comput. 26 (5) (2022)
Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb, Erik D. Goodman
Progress Operator for Faster Convergence in Evolutionary Multi-objective Optimization. ACM Trans. Evol. Learn. Optim. 2 (1) (2022)
Sarang Kapoor, Dhish Kumar Saxena, Matthijs van Leeuwen
Online summarization of dynamic graphs using subjective interestingness for sequential data. Data Min. Knowl. Discov. 35 (1) (2021)
Kalyanmoy Deb, Sukrit Mittal, Dhish Kumar Saxena, Erik D. Goodman
Embedding a Repair Operator in Evolutionary Single and Multi-objective Algorithms - An Exploitation-Exploration Perspective. EMO (2021)
Divyam Aggarwal, Dhish Kumar Saxena, Thomas Bäck, Michael Emmerich
Real-World Airline Crew Pairing Optimization: Customized Genetic Algorithm versus Column Generation Method. CoRR (2020)
Kanish Garg, Anish Mukherjee, Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb
A generic and computationally efficient automated innovization method for power-law design rules. GECCO Companion (2020)
Divyam Aggarwal, Dhish Kumar Saxena, Thomas Bäck, Michael Emmerich
A Novel Column Generation Heuristic for Airline Crew Pairing Optimization with Large-scale Complex Flight Networks. CoRR (2020)
Divyam Aggarwal, Dhish Kumar Saxena, Thomas Bäck, Michael Emmerich
AirCROP: Airline Crew Pairing Optimizer for Complex Flight Networks Involving Multiple Crew Bases & Billion-Plus Variables. CoRR (2020)
Sarang Kapoor, Dhish Kumar Saxena, Matthijs van Leeuwen
Discovering subjectively interesting multigraph patterns. Mach. Learn. 109 (8) (2020)
Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb, Erik D. Goodman
Enhanced Innovized Repair Operator for Evolutionary Multi- and Many-objective Optimization. CoRR (2020)
Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb
. GECCO Companion (2020)
Divyam Aggarwal, Dhish Kumar Saxena, Thomas Bäck, Michael Emmerich
On Initializing Airline Crew Pairing Optimization for Large-scale Complex Flight Networks. CoRR (2020)
Yangyang Li, Mengzhuo Tian, Yang Wang, Qingfu Zhang, Dhish Kumar Saxena, Licheng Jiao
A new replica placement strategy based on multi-objective optimisation for HDFS. Int. J. Bio Inspired Comput. 16 (1) (2020)
Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb
A Unified Automated Innovization Framework Using Threshold-based Clustering. CEC (2020)
Divyam Aggarwal, Yash Kumar Singh, Dhish Kumar Saxena
On Learning Combinatorial Patterns to Assist Large-Scale Airline Crew Pairing Optimization. CoRR (2020)
Dhish Kumar Saxena, Sarang Kapoor
On Timing the Nadir-Point Estimation and/or Termination of Reference-Based Multi- and Many-objective Evolutionary Algorithms. EMO (2019)
Divyam Aggarwal, Dhish Kumar Saxena, Michael Emmerich, Saaju Paulose
On Large-Scale Airline Crew Pairing Generation. SSCI (2018)
João A. Duro, Dhish Kumar Saxena
Timing the Decision Support for Real-World Many-Objective Optimization Problems. EMO (2017)
Dhish Kumar Saxena, Arnab Sinha, João A. Duro, Qingfu Zhang
Entropy-Based Termination Criterion for Multiobjective Evolutionary Algorithms. IEEE Trans. Evol. Comput. 20 (4) (2016)
João A. Duro, Dhish Kumar Saxena, Kalyanmoy Deb, Qingfu Zhang
Machine learning based decision support for many-objective optimization problems. Neurocomputing 146 (2014)
Ankur Sinha, Dhish Kumar Saxena, Kalyanmoy Deb, Ashutosh Tiwari
Using objective reduction and interactive procedure to handle many-objective optimization problems. Appl. Soft Comput. 13 (1) (2013)
Dhish Kumar Saxena, João A. Duro, Ashutosh Tiwari, Kalyanmoy Deb, Qingfu Zhang
Objective Reduction in Many-Objective Optimization: Linear and Nonlinear Algorithms. IEEE Trans. Evol. Comput. 17 (1) (2013)
Kostas Vergidis, Dhish Kumar Saxena, Ashutosh Tiwari
An evolutionary multi-objective framework for business process optimisation. Appl. Soft Comput. 12 (8) (2012)
Dhish Kumar Saxena, Qingfu Zhang, João A. Duro, Ashutosh Tiwari
Framework for Many-Objective Test Problems with Both Simple and Complicated Pareto-Set Shapes. EMO (2011)
Dhish Kumar Saxena, Tapabrata Ray, Kalyanmoy Deb, Ashutosh Tiwari
Constrained many-objective optimization: A way forward. IEEE Congress on Evolutionary Computation (2009)
Dhish Kumar Saxena, Kalyanmoy Deb
Dimensionality reduction of objectives and constraints in multi-objective optimization problems: A system design perspective. IEEE Congress on Evolutionary Computation (2008)
Dhish Kumar Saxena, Kalyanmoy Deb
Trading on infeasibility by exploiting constraint's criticality through multi-objectivization: A system design perspective. IEEE Congress on Evolutionary Computation (2007)
Dhish Kumar Saxena, Kalyanmoy Deb
Non-linear Dimensionality Reduction Procedures for Certain Large-Dimensional Multi-objective Optimization Problems: Employing Correntropy and a Novel Maximum Variance Unfolding. EMO (2006)