The Resource Advances in Stochastic and Deterministic Global Optimization, edited by Panos M. Pardalos, Anatoly Zhigljavsky, Julius Žilinskas, (electronic resource)

Advances in Stochastic and Deterministic Global Optimization, edited by Panos M. Pardalos, Anatoly Zhigljavsky, Julius Žilinskas, (electronic resource)

Label
Advances in Stochastic and Deterministic Global Optimization
Title
Advances in Stochastic and Deterministic Global Optimization
Statement of responsibility
edited by Panos M. Pardalos, Anatoly Zhigljavsky, Julius Žilinskas
Contributor
Editor
Provider
Subject
Language
eng
Summary
Current 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 Žilinskas who is a leading world expert in global optimization. Professor Žilinskas'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
Member of
Image bit depth
0
LC call number
QA402.5-402.6
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
  • Pardalos, Panos M.
  • Zhigljavsky, Anatoly.
  • Žilinskas, Julius.
  • SpringerLink
Series statement
Springer Optimization and Its Applications,
Series volume
107
http://library.link/vocab/subjectName
  • Mathematics
  • Computer science
  • Computer science
  • Algorithms
  • Numerical analysis
  • Mathematical optimization
  • Probabilities
  • Mathematics
  • Optimization
  • Probability Theory and Stochastic Processes
  • Algorithms
  • Numerical Analysis
  • Mathematical Applications in Computer Science
Label
Advances in Stochastic and Deterministic Global Optimization, edited by Panos M. Pardalos, Anatoly Zhigljavsky, Julius Žilinskas, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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
Dimensions
unknown
Extent
XIII, 296 p. 69 illus., 42 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9783319299754
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-319-29975-4
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-319-29975-4
Label
Advances in Stochastic and Deterministic Global Optimization, edited by Panos M. Pardalos, Anatoly Zhigljavsky, Julius Žilinskas, (electronic resource)
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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
Dimensions
unknown
Extent
XIII, 296 p. 69 illus., 42 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9783319299754
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-319-29975-4
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-319-29975-4

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