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 …, 2021 - dl.acm.org
Learning effective problem information from already explored search space in an
optimization run, and utilizing it to improve the convergence of subsequent solutions, have …

Real-world airline crew pairing optimization: Customized genetic algorithm versus column generation method

D Aggarwal, DK Saxena, T Bäck… - … on Evolutionary Multi …, 2023 - Springer
Airline crew pairing optimization problem (CPOP) aims to find a set of flight sequences (crew
pairings) that cover all flights in an airline's highly constrained flight schedule at minimum …

A Review of Pilot-operated Hydraulic Valves–Development, Challenges, and a Comparative Study

E Elsaed, M Linjama - International Journal of Fluid …, 2023 - journals.riverpublishers.com
Hydraulic systems have been widely used due to their high power-to-weight ratio. Despite
the growing instances of being superseded by the electromechanical counterparts at low …

[PDF][PDF] An ANN-assisted repair operator for evolutionary multiobjective optimization

S Mittal, DK Saxena, K Deb, E Goodman - COIN Report No. 2020005, 2020 - egr.msu.edu
Learning for effective problem information from already explored search-space in an
optimization run, and utilizing it to improve convergence properties have presented …

[PDF][PDF] A Learning-based Innovized Progress Operator for Faster Convergence in Evolutionary Multi-objective Optimization COIN Report Number 2021003

S MITTAL, DK SAXENA, K DEB, ED GOODMAN - 2021 - egr.msu.edu
Learning for effective problem information from already explored search-space in an
optimization run, and utilizing it to improve convergence properties, have presented …