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Advances in Stochastic and Deterministic Global Optimization

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Cover of 'Advances in Stochastic and Deterministic Global Optimization'

Table of Contents

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    Book Overview
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    Chapter 1 On the Asymptotic Tractability of Global Optimization
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    Chapter 2 Combining Interval and Probabilistic Uncertainty: What Is Computable?
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    Chapter 3 Survey of Piecewise Convex Maximization and PCMP over Spherical Sets
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    Chapter 4 Assessing Basin Identification Methods for Locating Multiple Optima
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    Chapter 5 Cloud Computing Approach for Intelligent Visualization of Multidimensional Data
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    Chapter 6 Comparative Study of Different Penalty Functions and Algorithms in Survey Calibration
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    Chapter 7 Multidimensional Scaling for Genomic Data
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    Chapter 8 Solving Stochastic Ship Fleet Routing Problems with Inventory Management Using Branch and Price
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    Chapter 9 Investigation of Data Regularization and Optimization of Timetables by Lithuanian High Schools Example
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    Chapter 10 Dynamic Global Optimization Methods for Determining Guaranteed Solutions in Chemical Engineering
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    Chapter 11 On the Least-Squares Fitting of Data by Sinusoids
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    Chapter 12 A Multicriteria Generalization of Bayesian Global Optimization
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    Chapter 13 Understanding the Impact of Constraints: A Rank Based Fitness Function for Evolutionary Methods
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    Chapter 14 Estimating the Pareto Front of a Hard Bi-criterion Competitive Facility Location Problem
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    Chapter 15 On Sampling Methods for Costly Multi-Objective Black-Box Optimization
Attention for Chapter 9: Investigation of Data Regularization and Optimization of Timetables by Lithuanian High Schools Example
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Chapter title
Investigation of Data Regularization and Optimization of Timetables by Lithuanian High Schools Example
Chapter number 9
Book title
Advances in Stochastic and Deterministic Global Optimization
Published by
Springer, Cham, January 2016
DOI 10.1007/978-3-319-29975-4_9
Book ISBNs
978-3-31-929973-0, 978-3-31-929975-4
Authors

Jonas Mockus, Lina Pupeikiene, Mockus, Jonas, Pupeikiene, Lina

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