Advances in Stochastic and Deterministic Global Optimization

✍ Scribed by Panos M. Pardalos, Anatoly Zhigljavsky, Julius Žilinskas (eds.)

• Publisher: Springer International Publishing
• Year: 2016
• Tongue: English
• Leaves: 300
• Series: Springer Optimization and Its Applications 107
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-xiii
Front Matter....Pages 1-1
On the Asymptotic Tractability of Global Optimization....Pages 3-12
Combining Interval and Probabilistic Uncertainty: What Is Computable?....Pages 13-32
Survey of Piecewise Convex Maximization and PCMP over Spherical Sets....Pages 33-52
Assessing Basin Identification Methods for Locating Multiple Optima....Pages 53-70
Front Matter....Pages 71-71
Cloud Computing Approach for Intelligent Visualization of Multidimensional Data....Pages 73-85
Comparative Study of Different Penalty Functions and Algorithms in Survey Calibration....Pages 87-127
Multidimensional Scaling for Genomic Data....Pages 129-139
Solving Stochastic Ship Fleet Routing Problems with Inventory Management Using Branch and Price....Pages 141-165
Investigation of Data Regularization and Optimization of Timetables by Lithuanian High Schools Example....Pages 167-180
Dynamic Global Optimization Methods for Determining Guaranteed Solutions in Chemical Engineering....Pages 181-207
On the Least-Squares Fitting of Data by Sinusoids....Pages 209-226
Front Matter....Pages 227-227
A Multicriteria Generalization of Bayesian Global Optimization....Pages 229-242
Understanding the Impact of Constraints: A Rank Based Fitness Function for Evolutionary Methods....Pages 243-254
Estimating the Pareto Front of a Hard Bi-criterion Competitive Facility Location Problem....Pages 255-272
On Sampling Methods for Costly Multi-Objective Black-Box Optimization....Pages 273-296

✦ Subjects

Optimization;Probability Theory and Stochastic Processes;Algorithms;Numerical Analysis;Mathematical Applications in Computer Science