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)

Enhanced Innovized Repair Operator for Evolutionary Multi- and Many-objective Optimization. - Sukrit Mittal; Dhish Kumar Saxena; Kalyanmoy Deb; Erik D. Goodman (CoRR, 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)

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)

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)

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)