Sukrit Mittal

According to our database, Sukrit Mittal authored at least 8 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

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

2022

A Learning-based <i>Innovized</i> 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

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

2021

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

Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

2020

Enhanced Innovized Repair Operator for Evolutionary Multi- and Many-objective Optimization.

Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb, Erik D. Goodman

CoRR, 2020

Learning-based multi-objective optimization through ANN-assisted online <i>Innovization</i>.

Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

A generic and computationally efficient automated innovization method for power-law design rules.

Kanish Garg, Anish Mukherjee, Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

A Unified Automated Innovization Framework Using Threshold-based Clustering.

Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb

Proceedings of the IEEE Congress on Evolutionary Computation, 2020