Advances in Stochastic and Deterministic Global Optimization

Part I. Theory and Algorithms for Global Optimization

1. On the Asymptotic Tractability of Global Optimization
James M. Calvin

2. Combining Interval and Probabilistic Uncertainty: What Is Computable?
Vladik Kreinovich, Andrzej Pownuk, Olga Kosheleva

3. Survey of Piecewise Convex Maximization and PCMP over Spherical Sets
Ider Tseveendorj, Dominique Fortin

4. Assessing Basin Identification Methods for Locating Multiple Optima
Simon Wessing, Günter Rudolph, Mike Preuss

Part II. Applications of Global Optimization

5. Cloud Computing Approach for Intelligent Visualization of Multidimensional Data
Jolita Bernatavičienė, Gintautas Dzemyda, Olga Kurasova, Virginijus Marcinkevičius, Viktor Medvedev, Povilas Treigys

6. Comparative Study of Different Penalty Functions and Algorithms in Survey Calibration
Gareth Davies, Jonathan Gillard, Anatoly Zhigljavsky

7. Multidimensional Scaling for Genomic Data
Audrone Jakaitiene, Mara Sangiovanni, Mario R. Guarracino, Panos M. Pardalos

8. Solving Stochastic Ship Fleet Routing Problems with Inventory Management Using Branch and Price
Ken McKinnon, Yu Yu

9. Investigation of Data Regularization and Optimization of Timetables by Lithuanian High Schools Example
Jonas Mockus, Lina Pupeikiene

10. Dynamic Global Optimization Methods for Determining Guaranteed Solutions in Chemical Engineering
Carlos Pérez-Galván, I. David L. Bogle

11. On the Least-Squares Fitting of Data by Sinusoids
Yaroslav D. Sergeyev, Dmitri E. Kvasov, Marat S. Mukhametzhanov

Part III. Multi-Objective Global Optimization

12. A Multicriteria Generalization of Bayesian Global Optimization
Michael Emmerich, Kaifeng Yang, André Deutz, Hao Wang, Carlos M. Fonseca

13. Understanding the Impact of Constraints: A Rank Based Fitness Function for Evolutionary Methods
Eric S. Fraga, Oluwamayowa Amusat

14. Estimating the Pareto Front of a Hard Bi-criterion Competitive Facility Location Problem
Algirdas Lančinskas, Pascual Fernández, Blas Pelegrín, Julius Žilinskas

15. On Sampling Methods for Costly Multi-Objective Black-Box Optimization
Ingrida Steponavičė, Mojdeh Shirazi-Manesh, Rob J. Hyndman, Kate Smith-Miles, Laura Villanova

Keywords: Mathematics, Optimization, Probability Theory and Stochastic Processes, Algorithms, Numerical Analysis, Mathematical Applications in Computer Science