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ORCIDAdvances in Stochastic and Deterministic Global Optimization 2016
- Panos M. Pardalos, Anatoly Zhigljavsky, Julius Zilinskas:
Advances in Stochastic and Deterministic Global Optimization. Springer Optimization and Its Applications 107, Springer 2016, ISBN 978-3-319-29973-0
Theory and Algorithms for Global Optimization
- James M. Calvin
:
On the Asymptotic Tractability of Global Optimization. 3-12 - Vladik Kreinovich, Andrzej Pownuk, Olga Kosheleva:
Combining Interval and Probabilistic Uncertainty: What Is Computable? 13-32 - Ider Tseveendorj, Dominique Fortin:
Survey of Piecewise Convex Maximization and PCMP over Spherical Sets. 33-52 - Simon Wessing, Günter Rudolph, Mike Preuss:
Assessing Basin Identification Methods for Locating Multiple Optima. 53-70
Applications of Global Optimization
- Jolita Bernataviciene, Gintautas Dzemyda, Olga Kurasova, Virginijus Marcinkevicius, Viktor Medvedev, Povilas Treigys:
Cloud Computing Approach for Intelligent Visualization of Multidimensional Data. 73-85 - Gareth Davies, Jonathan Gillard, Anatoly Zhigljavsky:
Comparative Study of Different Penalty Functions and Algorithms in Survey Calibration. 87-127 - Audrone Jakaitiene, Mara Sangiovanni, Mario R. Guarracino, Panos M. Pardalos:
Multidimensional Scaling for Genomic Data. 129-139 - Ken McKinnon, Yu Yu:
Solving Stochastic Ship Fleet Routing Problems with Inventory Management Using Branch and Price. 141-165 - Jonas Mockus, Lina Pupeikiene:
Investigation of Data Regularization and Optimization of Timetables by Lithuanian High Schools Example. 167-180 - Carlos Pérez-Galván, Ian David Lockhart Bogle:
Dynamic Global Optimization Methods for Determining Guaranteed Solutions in Chemical Engineering. 181-207 - Yaroslav D. Sergeyev, Dmitri E. Kvasov, Marat S. Mukhametzhanov:
On the Least-Squares Fitting of Data by Sinusoids. 209-226
Multi-Objective Global Optimization
- Michael Emmerich, Kaifeng Yang, André H. Deutz, Hao Wang, Carlos M. Fonseca:
A Multicriteria Generalization of Bayesian Global Optimization. 229-242 - Eric S. Fraga, Oluwamayowa O. Amusat:
Understanding the Impact of Constraints: A Rank Based Fitness Function for Evolutionary Methods. 243-254 - Algirdas Lancinskas, Pascual Fernández, Blas Pelegrín, Julius Zilinskas:
Estimating the Pareto Front of a Hard Bi-criterion Competitive Facility Location Problem. 255-272 - Ingrida Steponavice, Mojdeh Shirazi-Manesh, Rob J. Hyndman, Kate Smith-Miles, Laura Villanova:
On Sampling Methods for Costly Multi-Objective Black-Box Optimization. 273-296
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