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Advances in Stochastic and Deterministic Global Optimization

Edited by Panos M. Pardalos (), Anatoly Zhigljavsky () and Julius Žilinskas ()

in Springer Optimization and Its Applications from Springer, currently edited by Pardalos, Panos, Thai, My T. and Du, Ding-Zhu

Date: 2016
ISBN: 978-3-319-29975-4
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Chapters in this book:

On the Asymptotic Tractability of Global Optimization
James M. Calvin
Combining Interval and Probabilistic Uncertainty: What Is Computable?
Vladik Kreinovich, Andrzej Pownuk and Olga Kosheleva
Survey of Piecewise Convex Maximization and PCMP over Spherical Sets
Ider Tseveendorj and Dominique Fortin
Assessing Basin Identification Methods for Locating Multiple Optima
Simon Wessing, Günter Rudolph and Mike Preuss
Cloud Computing Approach for Intelligent Visualization of Multidimensional Data
Jolita Bernatavičienė, Gintautas Dzemyda, Olga Kurasova, Virginijus Marcinkevičius, Viktor Medvedev and Povilas Treigys
Comparative Study of Different Penalty Functions and Algorithms in Survey Calibration
Gareth Davies, Jonathan Gillard and Anatoly Zhigljavsky
Multidimensional Scaling for Genomic Data
Audrone Jakaitiene, Mara Sangiovanni, Mario R. Guarracino and Panos M. Pardalos
Solving Stochastic Ship Fleet Routing Problems with Inventory Management Using Branch and Price
Ken McKinnon and Yu Yu
Investigation of Data Regularization and Optimization of Timetables by Lithuanian High Schools Example
Jonas Mockus and Lina Pupeikiene
Dynamic Global Optimization Methods for Determining Guaranteed Solutions in Chemical Engineering
Carlos Pérez-Galván and I. David L. Bogle
On the Least-Squares Fitting of Data by Sinusoids
Yaroslav D. Sergeyev, Dmitri E. Kvasov and Marat S. Mukhametzhanov
A Multicriteria Generalization of Bayesian Global Optimization
Michael Emmerich, Kaifeng Yang, André Deutz, Hao Wang and Carlos M. Fonseca
Understanding the Impact of Constraints: A Rank Based Fitness Function for Evolutionary Methods
Eric S. Fraga and Oluwamayowa Amusat
Estimating the Pareto Front of a Hard Bi-criterion Competitive Facility Location Problem
Algirdas Lančinskas, Pascual Fernández, Blas Pelegrín and Julius Žilinskas
On Sampling Methods for Costly Multi-Objective Black-Box Optimization
Ingrida Steponavičė, Mojdeh Shirazi-Manesh, Rob Hyndman, Kate Smith-Miles and Laura Villanova

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DOI: 10.1007/978-3-319-29975-4

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