Search Results for author:
Found 5 papers, 3 papers with code
Evolutionary Dynamic Optimization Laboratory: A MATLAB Optimization Platform for Education and Experimentation in Dynamic Environments
In this paper, to assist researchers in performing experiments and comparing their algorithms against several EDOAs, we develop an open-source MATLAB platform for EDOAs, called Evolutionary Dynamic Optimization LABoratory (EDOLAB).
A Novel Approach for Pill-Prescription Matching with GNN Assistance and Contrastive Learning
Medication mistaking is one of the risks that can result in unpredictable consequences for patients.
FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning
The uneven distribution of local data across different edge devices (clients) results in slow model training and accuracy reduction in federated learning.
Competition on Dynamic Optimization Problems Generated by Generalized Moving Peaks Benchmark (GMPB)
This document introduces the Generalized Moving Peaks Benchmark (GMPB), a tool for generating continuous dynamic optimization problem instances that is used for the CEC 2024 Competition on Dynamic Optimization.
Global optimization using Lévy flights
This paper studies a class of enhanced diffusion processes in which random walkers perform L\'evy flights and apply it for global optimization.
