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The case study shows that an energy simulation program can be effectively integrated into a design optimization environment to find the optimal design.
An interesting optimization aspect addressed in the genetic optimization environment deals with a construction of optimal subspaces of the overall feature space: in highly dimensional spaces we can envision that only a small subset of features is essential and their reduction may help develop a compact network.
The structure of the differential evolution optimization environment is simple and a convergence to optimal values realized here is very good in comparison to the convergence reported for other optimization algorithms.
A Grid-enabled optimization environment is presented.
The modeFRONTIER optimization environment drives the entire design process.
To facilitate the modelling we use the optimization environment of Merlin http://merlin.cs.uoi.gr/.uoi.gr/
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Secondly, design, scheduling management, optimization and environment assessment of machine tools were introduced based on energy efficiency.
Proposed method provides very accurate results within significantly lower computational timeframes with respect to the existing reliability analysis methods, which makes it appropriate for application in computationally very demanding reliability based design optimization (RBDO) environment.
This paper presents some results of our recent work on the development of a distributed multidisciplinary design optimization (MDO) environment (called WebBlow) using a number of enabling technologies including software agents, Internet/Web, and XML.
Existing mathematical optimization modeling environments do not facilitate the natural expression and manipulation of hierarchically structured systems.
Thus, a fast optimization algorithm called Environment-Adaptable Fast (EAF) optimization was proposed for speeding up the optimization of a reconfigurable RF front-end in a dynamic spectrum environment [9].
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