Open Problems in Optimization and Data Analysis / edited by Panos M. Pardalos, Athanasios Migdalas.
Pardalos, Panos M. editor.; Migdalas, Athanasios. editor.
2018
QA402.5-402.6
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Title
Open Problems in Optimization and Data Analysis / edited by Panos M. Pardalos, Athanasios Migdalas.
ISBN
9783319991429
3319991426
9783319991412
3319991418
DOI
https://doi.org/10.1007/978-3-319-99142-9
Published
Cham : Springer International Publishing : Imprint: Springer, 2018.
Language
English
Description
1 online resource (xix, 330 pages) : illustrations.
Item Number
10.1007/978-3-319-99142-9 doi
Call Number
QA402.5-402.6
Dewey Decimal Classification
519.6
Summary
Computational and theoretical open problems in optimization, computational geometry, data science, logistics, statistics, supply chain modeling, and data analysis are examined in this book. Each contribution provides the fundamentals needed to fully comprehend the impact of individual problems. Current theoretical, algorithmic, and practical methods used to circumvent each problem are provided to stimulate a new effort towards innovative and efficient solutions. Aimed towards graduate students and researchers in mathematics, optimization, operations research, quantitative logistics, data analysis, and statistics, this book provides a broad comprehensive approach to understanding the significance of specific challenging or open problems within each discipline. The contributions contained in this book are based on lectures focused on "Challenges and Open Problems in Optimization and Data Science" presented at the Deucalion Summer Institute for Advanced Studies in Optimization, Mathematics, and Data Science in August 2016.
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text file PDF
Added Author
Pardalos, Panos M. editor.
Migdalas, Athanasios. editor.
Series
Springer optimization and its applications ; 141.
Available in Other Form
Print version: 9783319991412
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Chapter 1- Social Influence-based Optimization Problems
Chapter 2- New Statistical Robust Estimators, Open Problems
Chapter 3- Optimal Location Problems for Electric Vehicles Charging Stations: Models and Challenges
Chapter 4- Supply and Demand Selection Problems in Supply Chain Planning
Chapter 5- Open problems in green supply chain modelingband optimization with carbon emission targets
Chapter 6- Variants and Formulations of the Vehicle Routing Problem
Chapter 7- New MIP model for Multiprocessor Scheduling Problem with Communication Delays
Chapter 8- On Optimization Problems in Urban Transport
Chapter 9- Some aspects of the Stackelberg Leader/Follower Model
Chapter 10- Open research areas in distance geometry
Chapter 11- A Circle Packing Problem and its Connection to Malfatti's Problem
Chapter 12- Review of basic local searches for solving the Minimum sum-of-squares clustering problem
Chapter 13- On the Design of Metaheuristics-based Algorithm Portfolios
Chapter 14- Integral Simplex Methods for the Set Partitioning Problem: Globalization and Anti-Cycling
Chapter 15- Open problems on Benders Decomposition Algorithm
Chapter 16- An Example of Nondecomposition in Data Fitting by Piecewise Monotonic Divided Differences of Order Higher than Two.

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