Smoothing time series allows removing noise. Moving averages are used in finance to
smooth stock price series and forecast trend direction. We propose optimised custom …

We address a discrete competitive facility location problem with an asymmetric objective
function and a binary customer choice rule. Both an integer linear programming formulation …

Environmental modelers using optimization algorithms for model calibration face an
ambivalent choice. Some algorithms, for example, Newton‐type methods, are fast but …

En optique, l'utilisation croissante de techniques et d'algorithmes d'apprentissage machine
(ML) impact de façon importante une variété de systèmes. Celle-ci a mené aux …

Competitive facility location is a strategic decision for firms providing goods or services and
competing for the market share in a geographical area. There are different facility location …

Due to the rise in American healthcare costs, clinic administrators are increasingly
concerned with optimally delivering service to patients. Due to the complex and uncertain …

Model-based parameter estimation, identification, and optimisation play a dominant role in
many aspects of physical and operational processes in applied sciences, engineering, and …

Abstract [eng] An application is created for quick and no coding knowledge required
analysis of optimization problems. Applications building process and data formatting is …

Target waveform construction In our implementation, the target waveforms were constructed
using heavyside functions. During the experiment and simulations, this allowed two …

Abstract [eng] It is difficult to evaluate a random search algorithms, because regardless of a
chosen method of efficiency evaluation, in order to obtain reliable statistical estimates set of …