Advances in stochastic and deterministic global optimization

Contributor(s): Pardalos, Panos M [Editor] | Zhigljavsky, Anatoly [Editor] | Zilinskas, Julius [Editor]
Material type: TextTextSeries: Springer optimization and its applications; No. 107Publisher: Switzerland Springer 2016Description: xiii, 296 p. Includes referenceISBN: 9783319299730Subject(s): Computer mathematics | Probabilities | Mathematical optimization | Numerical analysis | Stochastic processesDDC classification: 519.6 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. https://www.springer.com/gp/book/9783319299730
Tags from this library: No tags from this library for this title. Log in to add tags.
    Average rating: 0.0 (0 votes)
Item type Current location Item location Collection Call number Status Date due Barcode
Books Vikram Sarabhai Library
General Stacks
Slot 1680 (2 Floor, East Wing) Non-fiction 519.6 A2 (Browse shelf) Available 201509

Table of Content

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.

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.

https://www.springer.com/gp/book/9783319299730

There are no comments for this item.

to post a comment.

Powered by Koha