Swarm hybrid optimization for a piecewise model fitting applied to a glucose model

investigating the feasibility of a proposed model for geometric design of deployable arch structures

deployable scissor type structures are composed of the so-called scissor-like elements (sles), which are connected to each other at an intermediate point through a pivotal connection and allow them to be folded into a compact bundle for storage or transport. several sles are connected to each other in order to form units with regular polygonal plan views. the sides and radii of the polygons are...

Developing a new model for availability optimization applied to a series-parallel system (Quality Engineering Conference Paper)

Redundancy technique is known as a way to enhance the reliability and availability of non-reparable systems, but for repairable systems, another factor is getting prominent called as the number of maintenance resources. In this study, availability optimization of series-parallel systems is modelled by using Markovian process by which the number of maintenance resources is located into the obje...

Fitting Piecewise Linear Functions Using Particle Swarm Optimization

The problem of determining a piecewise linear model for 2-dimensional data is commonly encountered by researchers in countless fields of scientific study. Examples of the problem or challenge are that of 2-dimensional digital curves, reliability, and applied mathematics. Nevertheless, in solving the problem, researchers are typically constrained by the lack of prior knowledge of the shape of th...

Fitting Nonlinear Time-series Model Using Swarm Optimization Technique

The well-known Box-Jenkins’ Autoregressive Integrated Moving Average (ARIMA) methodology for fitting time-series data has some major limitations. To this end, Exponential Autoregressive (EXPAR) family of models may be employed. An important characteristic feature of EXPAR is that it is capable of modelling those data sets that depict cyclical variations. Further, it can also be used when data s...

A Stochastic Optimization Model for Groundwater Management