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Titlebook: Global Optimization; Scientific and Engin János D. Pintér Book 2006 Springer-Verlag US 2006 Analysis.algorithm.algorithms.artificial neural

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發(fā)表于 2025-3-21 18:55:46 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Global Optimization
副標(biāo)題Scientific and Engin
編輯János D. Pintér
視頻videohttp://file.papertrans.cn/387/386434/386434.mp4
概述Covers a wide range of practical applications and solution methods, which is rather unique in the GO literature.Includes supplementary material:
叢書名稱Nonconvex Optimization and Its Applications
圖書封面Titlebook: Global Optimization; Scientific and Engin János D. Pintér Book 2006 Springer-Verlag US 2006 Analysis.algorithm.algorithms.artificial neural
描述.Optimization models based on a nonlinear systems description often possess multiple local optima. The objective of global optimization (GO) is to find the best possible solution of multiextremal problems. This volume illustrates the applicability of GO modeling techniques and solution strategies to real-world problems. ...The contributed chapters cover a broad range of applications from agroecosystem management, assembly line design, bioinformatics, biophysics, black box systems optimization, cellular mobile network design, chemical process optimization, chemical product design, composite structure design, computational modeling of atomic and molecular structures, controller design for induction motors, electrical engineering design, feeding strategies in animal husbandry, the inverse position problem in kinematics, laser design, learning in neural nets, mechanical engineering design, numerical solution of equations, radiotherapy planning, robot design, and satellite data analysis. The solution strategies discussed encompass a range of practically viable methods, including both theoretically rigorous and heuristic approaches..
出版日期Book 2006
關(guān)鍵詞Analysis; algorithm; algorithms; artificial neural network; bioinformatics; data analysis; electrical engi
版次1
doihttps://doi.org/10.1007/0-387-30927-6
isbn_softcover978-1-4419-4023-0
isbn_ebook978-0-387-30927-9Series ISSN 1571-568X
issn_series 1571-568X
copyrightSpringer-Verlag US 2006
The information of publication is updating

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A Global Optimization Strategy and Its Use in Solvent Design,ound, the bounding operation is performed in the search variables space, while the branching operation is performed in a reduced dimension space defined by the branching (or splitting) functions. The branching functions are determined from the special tree function representation of both the objecti
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Non Linear Optimization Models in Water Resource Systems,f water works, the reliability of the system and the prediction of short falls severity in demands. Moreover, the necessity to introduce system-vulnerability leads to solve a quadratic programming model taking into account additional non-linear costs due to the requirement of well operating during p
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Solving the Phase Unwrapping Problem by a Parametrized Network Optimization Approach,obtained with another algorithm proposed in the scientific literature. The numerical experience proposed is relative to synthetic data and to real SAR interferometry data. The real data are taken from the ERS missions of the European Space Agency (ESA).
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Evolutionary Approach to Design Assembly Lines,ective grouping genetic algorithm (a grouping genetic algorithm hybridized with the multi-criteria decision-aid method PROMETHEE II). An approach to deal with user’s preferences in design problems is also introduced. The essential concepts adopted by the method are described. An application of the p
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Martin S. Smith MA, PhD, CEng, MIEEound, the bounding operation is performed in the search variables space, while the branching operation is performed in a reduced dimension space defined by the branching (or splitting) functions. The branching functions are determined from the special tree function representation of both the objecti
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General problems in aroma research,f water works, the reliability of the system and the prediction of short falls severity in demands. Moreover, the necessity to introduce system-vulnerability leads to solve a quadratic programming model taking into account additional non-linear costs due to the requirement of well operating during p
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發(fā)表于 2025-3-23 08:53:13 | 只看該作者
Introduction to Artificial Intelligenceobtained with another algorithm proposed in the scientific literature. The numerical experience proposed is relative to synthetic data and to real SAR interferometry data. The real data are taken from the ERS missions of the European Space Agency (ESA).
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