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Titlebook: Optimization Methods; From Theory to Desi Marco Cavazzuti Book 2013 Springer-Verlag Berlin Heidelberg 2013 Convection Optimization.Design

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發(fā)表于 2025-3-23 10:43:52 | 只看該作者
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A Forced Convection Application: Surface Optimization for Enhanced Heat Transferhapter. The examples proposed are dealing with thermodynamics and fluid-dynamics problems due to the author background. It must be reminded, however, that optimization is an inherently interdisciplinary and multidisciplinary topic and the discussion which is made in these chapters is still valid for
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發(fā)表于 2025-3-24 04:04:48 | 只看該作者
A Natural Convection Application: Optimization of Rib Roughened Chimneysmneys. Following the same scheme of the previous chapter the problem is presented and the set-up of the optimization process discussed focusing on the methodology aspects. A rather large seven-steps approach to optimization is proposed mainly for educational purpose. The optimization process include
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發(fā)表于 2025-3-24 09:22:53 | 只看該作者
An Analytical Application: Optimization of a Stirling Engine Based on the Schmidt Analysis and on thntity of air or other gas (called the working or operating fluid) at different temperatures. Stirling engines were invented by Robert and James Stirling in 1818. Despite their high efficiency and quiet operation they have not imposed themselves over the Diesel and Otto engines. In recent years inter
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發(fā)表于 2025-3-24 11:10:40 | 只看該作者
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Book 2013timization is presented as being composed of five topics, namely: design of experiment, response surface modeling, deterministic optimization, stochastic optimization, and robust engineering design. Each chapter, after presenting the main techniques for each part, draws application oriented conclusi
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發(fā)表于 2025-3-24 21:28:41 | 只看該作者
Stochastic Optimizationapproaches to optimization. Several algorithms for stochastic optimization are presented such as particle swarm optimization, game theory optimization, evolutionary and genetic algorithms. Some guidelines on how to choose the most suitable stochastic optimization algorithm depending on the problem to be addressed are given in the end.
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發(fā)表于 2025-3-24 23:46:06 | 只看該作者
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