Trading on infeasibility by exploiting constraint's criticality through multi-objectivization: A system design perspective. - Dhish Kumar Saxena; Kalyanmoy Deb (IEEE Congress on Evolutionary Computation, 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 (EMO, 2007)

On Handling a Large Number of Objectives A Posteriori and During Optimization. - Dimo Brockhoff; Dhish Kumar Saxena; Kalyanmoy Deb; Eckart Zitzler (Multiobjective Problem Solving from Nature, 2008)

Dimensionality reduction of objectives and constraints in multi-objective optimization problems: A system design perspective. - Dhish Kumar Saxena; Kalyanmoy Deb (IEEE Congress on Evolutionary Computation, 2008)

Constrained many-objective optimization: A way forward. - Dhish Kumar Saxena; Tapabrata Ray; Kalyanmoy Deb; Ashutosh Tiwari 001 (IEEE Congress on Evolutionary Computation, 2009)

Framework for Many-Objective Test Problems with Both Simple and Complicated Pareto-Set Shapes. - Dhish Kumar Saxena; Qingfu Zhang 001; João A. Duro; Ashutosh Tiwari 001 (EMO, 2011)

An evolutionary multi-objective framework for business process optimisation. - Kostas Vergidis; Dhish Kumar Saxena; Ashutosh Tiwari 001 (Appl. Soft Comput., 2012)

Using objective reduction and interactive procedure to handle many-objective optimization problems. - Ankur Sinha 001; Dhish Kumar Saxena; Kalyanmoy Deb; Ashutosh Tiwari 001 (Appl. Soft Comput., 2013)

Objective Reduction in Many-Objective Optimization: Linear and Nonlinear Algorithms. - Dhish Kumar Saxena; João A. Duro; Ashutosh Tiwari 001; Kalyanmoy Deb; Qingfu Zhang 001 (IEEE Trans. Evol. Comput., 2013)

Machine learning based decision support for many-objective optimization problems. - João A. Duro; Dhish Kumar Saxena; Kalyanmoy Deb; Qingfu Zhang 001 (Neurocomputing, 2014)

Entropy-Based Termination Criterion for Multiobjective Evolutionary Algorithms. - Dhish Kumar Saxena; Arnab Sinha; João A. Duro; Qingfu Zhang 001 (IEEE Trans. Evol. Comput., 2016)

Timing the Decision Support for Real-World Many-Objective Optimization Problems. - João A. Duro; Dhish Kumar Saxena (EMO, 2017)

On Large-Scale Airline Crew Pairing Generation. - Divyam Aggarwal; Dhish Kumar Saxena; Michael Emmerich 001; Saaju Paulose (SSCI, 2018)

On Timing the Nadir-Point Estimation and/or Termination of Reference-Based Multi- and Many-objective Evolutionary Algorithms. - Dhish Kumar Saxena; Sarang Kapoor (EMO, 2019)

A Unified Automated Innovization Framework Using Threshold-based Clustering. - Sukrit Mittal; Dhish Kumar Saxena; Kalyanmoy Deb (CEC, 2020)

A generic and computationally efficient automated innovization method for power-law design rules. - Kanish Garg; Anish Mukherjee 004; Sukrit Mittal; Dhish Kumar Saxena; Kalyanmoy Deb (GECCO Companion, 2020)

Learning-based multi-objective optimization through ANN-assisted online Innovization. - Sukrit Mittal; Dhish Kumar Saxena; Kalyanmoy Deb (GECCO Companion, 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 001 (CoRR, 2020)

On Initializing Airline Crew Pairing Optimization for Large-scale Complex Flight Networks. - Divyam Aggarwal; Dhish Kumar Saxena; Thomas Bäck; Michael Emmerich 001 (CoRR, 2020)

On Learning Combinatorial Patterns to Assist Large-Scale Airline Crew Pairing Optimization. - Divyam Aggarwal; Yash Kumar Singh; Dhish Kumar Saxena (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 001 (CoRR, 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 new replica placement strategy based on multi-objective optimisation for HDFS. - Yangyang Li 001; Mengzhuo Tian; Yang Wang 075; Qingfu Zhang 001; Dhish Kumar Saxena; Licheng Jiao (Int. J. Bio Inspired Comput., 2020)

Discovering subjectively interesting multigraph patterns. - Sarang Kapoor; Dhish Kumar Saxena; Matthijs van Leeuwen (Mach. Learn., 2020)

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 (EMO, 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)

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)

A Learning-based Innovized 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)

Real-World Airline Crew Pairing Optimization: Customized Genetic Algorithm Versus Column Generation Method. - Divyam Aggarwal; Dhish Kumar Saxena; Thomas Bäck; Michael Emmerich 001 (EMO, 2023)

Investigating Innovized Progress Operators with Different Machine Learning Methods. - Drishti Bhasin; Sajag Swami; Sarthak Sharma; Saumya Sah; Dhish Kumar Saxena; Kalyanmoy Deb (EMO, 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)

Machine Learning Assisted Evolutionary Multi- and Many-Objective Optimization - Dhish Kumar Saxena; Sukrit Mittal; Kalyanmoy Deb; Erik D. Goodman (Springer, 2024)

Dynamic traffic signal control for heterogeneous traffic conditions using Max Pressure and Reinforcement Learning. - Amit Agarwal 003; Deorishabh Sahu; Rishabh Mohata; Kuldeep Jeengar; Anuj Nautiyal; Dhish Kumar Saxena (Expert Syst. Appl., 2024)

A Unified Innovized Progress Operator for Performance Enhancement in Evolutionary Multi- and Many-Objective Optimization. - Sukrit Mittal; Dhish Kumar Saxena; Kalyanmoy Deb; Erik D. Goodman (IEEE Trans. Evol. Comput., 2024)