| 2025 | GECCO | Machine Learning Assisted Evolutionary Multi-objective Optimization. | Kalyanmoy Deb, Dhish Kumar Saxena, Sukrit Mittal |
| 2023 | EMO | Real-World Airline Crew Pairing Optimization: Customized Genetic Algorithm Versus Column Generation Method. | Divyam Aggarwal, Dhish Kumar Saxena, Thomas Bck, Michael Emmerich |
| 2023 | EMO | Investigating Innovized Progress Operators with Different Machine Learning Methods. | Drishti Bhasin, Sajag Swami, Sarthak Sharma, Saumya Sah, Dhish Kumar Saxena, Kalyanmoy Deb |
| 2021 | EMO | 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 |
| 2020 | CEC | A Unified Automated Innovization Framework Using Threshold-based Clustering. | Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb |
| 2020 | GECCO | A generic and computationally efficient automated innovization method for power-law design rules. | Kanish Garg, Anish Mukherjee, Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb |
| 2020 | GECCO | Learning-based multi-objective optimization through ANN-assisted online | Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb |
| 2019 | EMO | On Timing the Nadir-Point Estimation and/or Termination of Reference-Based Multi- and Many-objective Evolutionary Algorithms. | Dhish Kumar Saxena, Sarang Kapoor |
| 2017 | EMO | Timing the Decision Support for Real-World Many-Objective Optimization Problems. | Joo A. Duro, Dhish Kumar Saxena |
| 2011 | EMO | Framework for Many-Objective Test Problems with Both Simple and Complicated Pareto-Set Shapes. | Dhish Kumar Saxena, Qingfu Zhang, Joo A. Duro, Ashutosh Tiwari |
| 2009 | CEC | Constrained many-objective optimization: A way forward. | Dhish Kumar Saxena, Tapabrata Ray, Kalyanmoy Deb, Ashutosh Tiwari |
| 2008 | CEC | Dimensionality reduction of objectives and constraints in multi-objective optimization problems: A system design perspective. | Dhish Kumar Saxena, Kalyanmoy Deb |
| 2007 | CEC | Trading on infeasibility by exploiting constraint's criticality through multi-objectivization: A system design perspective. | Dhish Kumar Saxena, Kalyanmoy Deb |
| 2007 | EMO | 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 |