Advances in Stochastic and Deterministic Global Optimization

Author:   Panos M. Pardalos ,  Anatoly Zhigljavsky ,  Julius Žilinskas
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2016
Volume:   107
ISBN:  

9783319299730


Pages:   296
Publication Date:   14 November 2016
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Advances in Stochastic and Deterministic Global Optimization


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Author:   Panos M. Pardalos ,  Anatoly Zhigljavsky ,  Julius Žilinskas
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2016
Volume:   107
Dimensions:   Width: 15.50cm , Height: 1.90cm , Length: 23.50cm
Weight:   5.915kg
ISBN:  

9783319299730


ISBN 10:   3319299735
Pages:   296
Publication Date:   14 November 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

​Part I: Theory and Algorithms for Global Optimization.- On the Asymptotic Tractability of Global Optimization.- Combining Interval and Probabilistic Uncertainty: What Is Computable?.- Survey of Piecewise Convex Maximization and PCMP over Spherical Sets.- Assessing Basin Identification Methods for Locating Multiple Optima.- Part II: Applications of Global Optimization.- Cloud Computing Approach for Intelligent Visualization of Multidimensional Data.- Comparative Study of Different Penalty Functions and Algorithms in Survey Calibration.- Multidimensional Scaling for Genomic Data.- Solving Stochastic Ship Fleet Routing Problems with Inventory Management Using Branch and Price.- Investigation of Data Regularization and Optimization of Timetables by Lithuanian High Schools Example.- Dynamic Global Optimisation Methods for Determining Guaranteed Solutions in Chemical Engineering.- On the Least-Squares Fitting of Data by Sinusoids.- Part III:  Multi-objective Global Optimization.- A Multicriteria Generalization of Bayesian Global Optimization.- Understanding the Impact of Constraints: a Rank Based Fitness Function for Evolutionary Methods.- Estimating the Pareto Front of a Hard Bi-criterion Competitive Facility Location Problem.- On Sampling Methods for Costly Multi-objective Black-box Optimization.

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