We develop a multicriteria approach to the problem of space heating under a time varying price of electricity. In our dynamic goal programming model the goals are ideal temperatur...
One of the oldest problems in the study of dynamical systems is the calculation of an optimal control. Though the determination of a numerical solution for the general nonconvex o...
Traditional code optimizers have produced significant performance improvements over the past forty years. While promising avenues of research still exist, traditional static and p...
Jason Hiser, Naveen Kumar, Min Zhao, Shukang Zhou,...
New Particle Swarm Optimization (PSO) methods for dynamic and noisy function optimization are studied in this paper. The new methods are based on the hierarchical PSO (H-PSO) and a...
A dynamic optimizer is a runtime software system that groups a program’s instruction sequences into traces, optimizes those traces, stores the optimized traces in a softwarebase...