IcSDE+ -- An Indicator for Constrained Multi-Objective Optimization

no code implementations • 30 May 2023 • Oladayo S. Ajani, Rammohan Mallipeddi, Sri Srinivasa Raju M

The effectiveness of Constrained Multi-Objective Evolutionary Algorithms (CMOEAs) depends on their ability to reach the different feasible regions during evolution, by exploiting the information present in infeasible solutions, in addition to optimizing the several conflicting objectives.

Density Estimation Evolutionary Algorithms

GridShift: A Faster Mode-seeking Algorithm for Image Segmentation and Object Tracking

no code implementations • CVPR 2022 • Abhishek Kumar, Oladayo S. Ajani, Swagatam Das, Rammohan Mallipeddi

To address this issue, we propose a mode-seeking algorithm called GridShift, with significant speedup and principally based on MS. To accelerate, GridShift employs a grid-based approach for neighbor search, which is linear in the number of data points.

Image Segmentation Object Tracking +2