COMPARAISON OF HEURISTIC ANDHYBRID HEURISTIC FOR THE SOLUTIONOF LINEAR MODEL BASED PREDICTIVECONTROL

The first selection of articles was performed by two independent readers based on the title and abstract to include only (i) original epidemiological stu- dies (with control group,

In this case, the laser pump excites the titanium film and, through a thermoelastic process, leads to the generation of picosecond acoustic pulses that propagate within the copper

The algorithm uses the usual initialization procedures for any MEP- algorithm for its free parameters and initial states of individuals in the population. Free parameters

Results of experimental study of algorithms show that while both algorithms perform well in a relatively wide spec- trum of nodes number, the greedy heuristic is sligtly better for

The Barlow-Proschan importance index of the system, another useful concept introduced first in 1975 by Barlow and Proschan [2] for systems whose components have continuous

This paper describes an heuristic algorithm using Binary Decisions Diagrams (BDD) to solve the reliable communication network design problem (RCND) [2] [4]. The aim is to design

For these purpose, we consider two meta heuristics: particles swarm optimization, PSO, and gravitational search algorithm, GSA and a hybrid algorithm, PSO-GSA.. Two

Due to the discrete nature of the charge carriers, the current presents some fluctuations (noise) known as shot noise , which we aim to characterize here (not to be confused with