Advances in Stochastic and Deterministic Global Optimization

Advances in Stochastic and Deterministic Global Optimization

Zilinskas, Julius; Pardalos, Panos M.; Zhigljavsky, Anatoly

Springer International Publishing AG

06/2018

296

Mole

Inglês

9783319806976

15 a 20 dias

4745

Descrição não disponível.
?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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
deterministic algorithms;global optimization;linear optimization;nonconvex programming;nonlinear programming;stochastic algorithms