LEADER 05384nam 22007215 450 001 9910149490903321 005 20220406235615.0 024 7 $a10.1007/978-3-319-29975-4 035 $a(CKB)3710000000928135 035 $a(DE-He213)978-3-319-29975-4 035 $a(MiAaPQ)EBC4733270 035 $a(PPN)197138098 035 $a(EXLCZ)993710000000928135 100 $a20161104d2016 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in stochastic and deterministic global optimization /$fedited by Panos M. Pardalos, Anatoly Zhigljavsky, Julius ?ilinskas 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (XIII, 296 p. 69 illus., 42 illus. in color.) 225 1 $aSpringer Optimization and Its Applications,$x1931-6828 ;$v107 311 $a3-319-29973-5 311 $a3-319-29975-1 320 $aIncludes bibliographical references at the end of each chapters. 327 $aPart 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. 330 $aCurrent research results in stochastic and deterministic global optimization including single and multiple objectives are explored and presented in this book by leading specialists from various fields. Contributions include applications to multidimensional data visualization, regression, survey calibration, inventory management, timetabling, chemical engineering, energy systems, and competitive facility location. Graduate students, researchers, and scientists in computer science, numerical analysis, optimization, and applied mathematics will be fascinated by the theoretical, computational, and application-oriented aspects of stochastic and deterministic global optimization explored in this book. This volume is dedicated to the 70th birthday of Antanas ?ilinskas who is a leading world expert in global optimization. Professor ?ilinskas's research has concentrated on studying models for the objective function, the development and implementation of efficient algorithms for global optimization with single and multiple objectives, and application of algorithms for solving real-world practical problems. 410 0$aSpringer Optimization and Its Applications,$x1931-6828 ;$v107 606 $aMathematical optimization 606 $aProbabilities 606 $aAlgorithms 606 $aNumerical analysis 606 $aComputer science?Mathematics 606 $aComputer mathematics 606 $aOptimization$3https://scigraph.springernature.com/ontologies/product-market-codes/M26008 606 $aProbability Theory and Stochastic Processes$3https://scigraph.springernature.com/ontologies/product-market-codes/M27004 606 $aAlgorithms$3https://scigraph.springernature.com/ontologies/product-market-codes/M14018 606 $aNumerical Analysis$3https://scigraph.springernature.com/ontologies/product-market-codes/M14050 606 $aMathematical Applications in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/M13110 615 0$aMathematical optimization. 615 0$aProbabilities. 615 0$aAlgorithms. 615 0$aNumerical analysis. 615 0$aComputer science?Mathematics. 615 0$aComputer mathematics. 615 14$aOptimization. 615 24$aProbability Theory and Stochastic Processes. 615 24$aAlgorithms. 615 24$aNumerical Analysis. 615 24$aMathematical Applications in Computer Science. 676 $a510 702 $aPardalos$b Panos M$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZhigljavsky$b Anatoly$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $a?ilinskas$b Julius$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910149490903321 996 $aAdvances in stochastic and deterministic global optimization$91523111 997 $aUNINA