The NEOS Server provides access to optimization solvers through the Internet with a suite of interfaces. In particular, the Kestrel interface enables the remote solution of optimization problems within the AMPL and GAMS modeling languages. Problem generation, including the run-time detection of syntax errors, occurs on the local machine using any available modeling language facilities. Solution...

In this paper, we address the problem of tightly integrating data modeling and decision optimization, particularly when the optimization is dynamic and involves a sequence of decisions to be made over time. We propose a novel approach based on the framework of constrained Markov Decision Processes, and establish some basic properties concerning modeling/optimization methods within this formulat...

Constructing an effective process module is groundwork for product development process optimization. This paper imposes an activity/process based modeling idea which supports the integrated management and optimization of process development process. This idea uses the activity/process as the modeling basic cell. At first, the activity/process based PDP modeling theory is studied; Second, the pr...

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-...

This article discusses a rule-based fuzzy model for the identi cation of nonlinear MISO (multiple input, single output) systems. The dis cussed method of fuzzy modeling consists of two parts: structure modeling, i.e. determing the num ber of rules and input variables involved respec tively, and parameter optimization, i.e. optimizing the location and form of the curves which describe the fuz...

in order to reduce both the weight of vehicles and the damage of occupants in a crash event simultaneously, it is necessary to perform a multi-objective optimization of the automotive energy absorbing components. in this paper, axial impact crushing behavior of the aluminum foam-filled thin-walled tubes are studied by the finite element method using commercial software abaqus. comparison of the...

This paper studies the modeling and optimization of energy use and greenhouse gas emissions of eggplant production using artificial neural network and multi-objective genetic algorithm in Guilan province of Iran. Results showed that the highest share of energy consumption belongs to diesel fuel (49.24%); followed by nitrogen (33.30%). The results indicated that a total energy input of 13910.67 ...

The sectoral structure of most agricultural enterprises is unbalanced and uncoordinated, which underlies the need in deepened research of its improvement. This paper is dedicated to the formation and evaluation of the sectoral structure with the use of mathematical methods of data processing. Mathematical economic modeling based on optimization and simulation models has been applied for the for...

This paper studies the modeling and optimization of energy use and greenhouse gas emissions of eggplant production using artificial neural network and multi-objective genetic algorithm in Guilan province of Iran. Results showed that the highest share of energy consumption belongs to diesel fuel (49.24%); followed by nitrogen (33.30%). The results indicated that a total energy input of 13910.67 ...