Enhanced Innovized Progress Operator for Evolutionary Multi- and Many-Objective Optimization S Mittal, DK Saxena, K Deb, ED Goodman IEEE Transactions on Evolutionary Computation 26 (5), 961-975, 2021 | 29* | 2021 |
A Learning-based Innovized Progress Operator for Faster Convergence in Evolutionary Multi-objective Optimization S Mittal, DK Saxena, K Deb, ED Goodman ACM Transactions on Evolutionary Learning and Optimization (TELO) 2 (1), 1-29, 2021 | 27* | 2021 |
Social entrepreneurship through forest bioresidue briquetting: An approach to mitigate forest fires in Pine areas of Western Himalaya, India K Joshi, V Sharma, S Mittal Renewable and Sustainable Energy Reviews 51, 1338-1344, 2015 | 20 | 2015 |
Learning-based multi-objective optimization through ANN-assisted online Innovization S Mittal, DK Saxena, K Deb Proceedings of the 2020 genetic and evolutionary computation conference …, 2020 | 16 | 2020 |
A Localized High-Fidelity-Dominance based Many-Objective Evolutionary Algorithm DK Saxena, S Mittal, S Kapoor, K Deb IEEE Transactions on Evolutionary Computation, 2022 | 14 | 2022 |
Embedding a Repair Operator in Evolutionary Single and Multi-Objective Algorithms-An Exploitation-Exploration Perspective⋆ K Deb, S Mittal, DK Saxena, ED Goodman EMO 2021: 11th Edition of International Conference Series on Evolutionary …, 2021 | 5* | 2021 |
Innovative Design of Hydraulic Actuation System for Operator Fatigue Reduction and its Optimization S Mittal, D Aggarwal, DK Saxena Advances in Multidisciplinary Analysis and Optimization. Lecture Notes in …, 2019 | 5 | 2019 |
A unified Innovized progress operator for performance enhancement in evolutionary multi-and many-objective optimization S Mittal, DK Saxena, K Deb, ED Goodman IEEE Transactions on Evolutionary Computation, 2023 | 4 | 2023 |
A Unified Automated Innovization Framework Using Threshold-based Clustering S Mittal, DK Saxena, K Deb 2020 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2020 | 3 | 2020 |
A generic and computationally efficient automated innovization method for power-law design rules K Garg, A Mukherjee, S Mittal, DK Saxena, K Deb Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020 | 1 | 2020 |
A simplified approach towards draft control in hydraulic machines for component/cost reduction S Mittal, R Singh SAE Technical Paper, 2019 | 1 | 2019 |
Machine Learning Assisted Evolutionary Multi- and Many-Objective Optimization DK Saxena, S Mittal, K Deb, ED Goodman | | 2024 |
Learning to Understand the Problem Structure DK Saxena, S Mittal, K Deb, ED Goodman Machine Learning Assisted Evolutionary Multi-and Many-Objective Optimization …, 2024 | | 2024 |
Learning to Converge Better: IP2 Operator DK Saxena, S Mittal, K Deb, ED Goodman Machine Learning Assisted Evolutionary Multi-and Many-Objective Optimization …, 2024 | | 2024 |
Foundational Studies on ML-Based Enhancements DK Saxena, S Mittal, K Deb, ED Goodman Machine Learning Assisted Evolutionary Multi-and Many-Objective Optimization …, 2024 | | 2024 |
Optimization Problems and Algorithms DK Saxena, S Mittal, K Deb, ED Goodman Machine Learning Assisted Evolutionary Multi-and Many-Objective Optimization …, 2024 | | 2024 |
Learning to Simultaneously Converge and Diversify Better: UIP Operator DK Saxena, S Mittal, K Deb, ED Goodman Machine Learning Assisted Evolutionary Multi-and Many-Objective Optimization …, 2024 | | 2024 |
Conclusion and Future Research Directions DK Saxena, S Mittal, K Deb, ED Goodman Machine Learning Assisted Evolutionary Multi-and Many-Objective Optimization …, 2024 | | 2024 |
Learning to Diversify Better: IP3 Operator DK Saxena, S Mittal, K Deb, ED Goodman Machine Learning Assisted Evolutionary Multi-and Many-Objective Optimization …, 2024 | | 2024 |
Investigating Innovized Progress Operators with Different ML Methods DK Saxena, S Mittal, K Deb, ED Goodman Machine Learning Assisted Evolutionary Multi-and Many-Objective Optimization …, 2024 | | 2024 |