The interrupted time series analysis is a quasi-experimental design used to evaluate the effectiveness of an intervention. Segmented linear regression models have been most carry out this analysis. However, they assume trend that may not be appropriate in many situations. In paper, we show how generalized additive (GAMs), non-parametric regression-based method, can useful accommodate nonlinear ...

This paper presents a multi-objective mathematical model which aims to optimize and harmonize supply chain reduce costs, improve quality, achieve competitive advantage position using meta-heuristic algorithms. The purpose of optimization in this field is increase quality customer satisfaction production time related prices. present research simultaneously optimized the multi-product multi-perio...

eReefs is a large, collaborative project that is building catchment and marine models for Australia’s Great Barrier Reef Lagoon (GBRL), a world-heritage environmental asset. The eReefs package includes three-dimensional mechanistic biogeochemical, sediment and hydrodynamic models for the entire GBRL on 4 km and 1 km grid scales, along with a relocatable coastal and estuary model (RECOM) that ca...

Experimental investigations has elucidated on the complex dynamics of the low to high (L-H) plasma confinement mode transition. Evidence of interactions between the the turbulence driven E⃗ × B⃗ zonal flow oscillation or Geodesic Acoustic Mode (GAM) [1], turbulence and the mean equilibrium flows during this transition was found. Furthermore, periodic modulation of flow and turbulence level with t...

We describe Pyomo, an open source tool for modeling optimization applications in Python. Pyomo can be used to define symbolic problems, create concrete problem instances, and solve these instances with standard solvers. Pyomo provides a capability that is commonly associated with algebraic modeling languages such as AMPL, AIMMS, and GAMS, but Pyomo’s modeling objects are embedded within a full-...

A variety of applications in economics, finance, engineering design, the chemical and biological sciences, and a host of other areas give rise to nonconvex nonlinear and mixed-integer nonlinear programs (NLPs and MINLPs). BARON was originally developed in the early 1990s as a computational system to facilitate experimentation with novel deterministic algorithms for global optimization. Since th...

Indexing structures are of fundamental importance to mathematical programming modeling languages. We propose a taxonomy of the most commonly used indexing structures and illustrate it with 25 examples stated in plain but precise English. This paper is an independently useful part of a report that is far too long for inclusion in these proceedings. The full report works all 25 examples in AMPL, ...

Nano-microplankton biomass, mesozooplankton biomass and hydrographic features were measured with mesoscale spatial resolution during 3 surveys in the Bay of Biscay between March and June 2004. Regions of high plankton biomass were associated with mesoscale physical structures. Generalized additive models (GAMs) based upon surface salinity, surface temperature and stratification of the water col...

Over the past several years, many practitioners have been formulating nonlinear variational inequalities as mixed complementarity problems within modeling languages such as GAMS and AMPL. Sometimes the models generated are poorly specified, either because the function is undefined near the solution or the problem is ill-conditioned or singular. In this paper, we look at information provided by ...

The NEOS Server provides access to a variety of optimization resources via the Internet. The new Kestrel interface to the Server enables local modeling environments to request NEOS optimization services and retrieve the results for local visualization and analysis, so that users have the same convenient access to remote NEOS solvers as to those installed locally. Kestrel agents have been implem...