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

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Arithmetic Flags and Instructionsmethod may also reduce the computation time for ordinary nonlinear programming problems as well as produce better results. Finally, the application of evolutionary algorithms to two design optimization problems is presented. The first problem deals with optimum design of concentric springs, whereas

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Introduction to Audio Processingective 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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János D. PintérCovers a wide range of practical applications and solution methods, which is rather unique in the GO literature.Includes supplementary material:

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https://doi.org/10.1007/0-387-30927-6Analysis; algorithm; algorithms; artificial neural network; bioinformatics; data analysis; electrical engi

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Feeding Strategies for Maximising Gross Margin in Pig Production,Nonlinear optimisation and a pig growth model are combined with the traditional use of linear programming to maximise gross margin per pig place per year for the pig producer. Emphasis in this paper is on description of the problem and analysis of the objective function.

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Superconductive Devices and Materials,ural principles that determine the nature of the lowest-energy structure, the physical reasons why some clusters are especially difficult to optimize and how the basin-hopping transformation of the potential energy surface enables these difficult clusters to be optimized.

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Physical Perspectives on the Global Optimization of Atomic Clusters,ural principles that determine the nature of the lowest-energy structure, the physical reasons why some clusters are especially difficult to optimize and how the basin-hopping transformation of the potential energy surface enables these difficult clusters to be optimized.

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