In the context of industrial engineering it is important to integrate efficient computational optimization methods in the product development process. Some of the most challenging simulation based engineering design optimization problems are characterized by: a large number of design variables, the absence of analytical gradient information, highly non-linear objectives and a limited function e...

Nowadays hydroelectric energy is one of the best energy sources: it is cleaner, safer and more programmable than other sources. For this reason, its manage could not be done in an approssimative way, but advance mathematical models must be use. In this article we consider an overview of the problem: we introduce the problem, then we show its simplest but quite exaustive mathematical formulation...

This article relates some combinatorial optimization problems encountered by an optimizer in an industrial research laboratory at AT&T, a large telecommunications company. The article will appear in the Fall 2007 issue of SIAM SIAG/Optimization Views-and-News which will try to cover some aspects of the industrial applications of optimization and of the life of optimizers at AT&T, IBM, and Exxon.

A loosely coupled inductive power transfer (IPT) system for industrial track applications has been researched in this paper. The IPT converter using primary Inductor-Capacitor-Inductor (LCL) network and secondary parallel-compensations is analyzed combined coil design for optimal operating efficiency. Accurate mathematical analytical model and expressions of self-inductance and mutual inductanc...

in this paper, a new enhanced version of the particle swarm optimization (pso) is presented. an important modification is made by adding probabilistic functions into pso, and it is named probabilistic particle swarm optimization (ppso). since the variation of the velocity of particles in pso constitutes its search engine, it should provide two phases of optimization process which are: explorati...

Many real-world manufacturing problems are too complex to be modeled analytically and in these settings simulation-based optimization is a highly valuable tool. It has shown to be a useful technique for systems improvement and has been applied to address a wide range of industrial optimization problems. Simulation runs are, however, often computationally expensive and to enhance the efficiency ...

the accuracy of stereolithography (sl) product is very essential for meeting the intended functional applications. the parameters like layer thickness, hatch spacing, hatch overcure contribute significantly to the accuracy of the sl parts. in this paper an attempt has been made to identify the process parameters that influences on the accuracy of the parts made with ciba tool 5530 and optimize ...

The technique of experimental design is used on an ethylene polymerization process model in order to map the feasible optimal region as preliminary information for process optimization. Through the use of this statistical tool, together with a detailed deterministic model validated with industrial data, it is possible to identify the most relevant variables to be considered as degrees of freedo...

The use of enzymes in industrial catalysis continues to grow because of the considerable advantages of natural catalytic systems. The need for enantiomerically pure fine chemicals and the movement away from chemically burdened technologies will drive the acceptance of enzyme-assisted processes. New technologies for enzyme discovery and optimization have enabled the application of enzymes in har...

Acquiring holistic and accurate 3D measurements for industrial parts is highly demanded in the fields of quality control, process optimization and product development. The increasing complexity in the design and miniaturization make the task of holistic 3D data acquisition difficult. For the last few years, industrial computed tomography (CT) has emerged as a promising coordinate measuring tech...