American Institute of Physics

Multi-objective algorithm speeds up UAV search-and-rescue

Incorporating multiple constraints such as task completion time, UAV payload capacity, and flight range into path optimization algorithms allows for more efficient search patterns.
IEEE

A Hybrid Optimization Framework for Dynamic Multi-Objective Problems Using NSGA-II and Deep Reinforcement Learning

Abstract: Dynamic multi-objective optimization problems (DMOPPs) are prevalent in complex engineering and management systems, where decision-makers must balance conflicting objectives under ...
IEEE

DualCoAg-Net: A Federated Contrastive- Bayesian Multi-Task Framework for Robust and Explainable Skin Lesion Segmentation and Classification

Abstract: Accurate skin lesion segmentation and classification remain challenging due to inter-class similarity, boundary ambiguity, class imbalance, and domain shifts across datasets. We introduce ...