IEEE

Quantized Distributed Nonconvex Optimization Algorithms With Linear Convergence Under the Polyak–Łojasiewicz Condition

Abstract: This article considers distributed optimization for minimizing the average of local nonconvex cost functions, by using local information exchange over undirected communication networks. To ...
Hackaday

Optimizing Software With Zero-Copy And Other Techniques

An important aspect in software engineering is the ability to distinguish between premature, unnecessary, and necessary ...

RealPage Settlement Shows Algorithmic Pricing Isn’t the Enemy

Opinion: The Department of Justice's settlement with RealPage argues that the use of algorithmic pricing software itself ...
EurekAlert!

Energy learning hyper-heuristic algorithm for cooperative task assignment of heterogeneous UAVs under complex constraints

The study addresses heterogeneous UAV cooperative task assignment under complex constraints via an energy learning ...
IEEE

Starfish Optimization Algorithm for Enhanced Parameter Identification of Proton Exchange Membrane Fuel Cell Models

Abstract: This study evaluates the performance of the starfish optimization algorithm (SFOA) for parameter identification in Proton Exchange Membrane Fuel Cells (PEMFCs). SFOA, inspired by the ...