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Age of Information: Concept, Metric and Tool for Network Control
The concept of information freshness has developed over the last few years into an active and rapidly growing area of research. It has become known as the Age of Information (AoI). After its initial formal introduction, it became clear that it was very relevant (if not crucial) for numerous applications, ranging from autonomous vehicle systems, the Internet of Things, real-time computing to dat…
- Edition
- -
- ISBN/ISSN
- 9783036572925
- Collation
- 400
- Series Title
- -
- Call Number
- -
Advances in Optimization and Nonlinear Analysis
This paper comprehensively reviews the spiral dynamics optimization (SDO) algorithm and investigates its characteristics. SDO algorithm is one of the most straightforward physics-based optimization algorithms and is successfully applied in various broad fields
- Edition
- -
- ISBN/ISSN
- 9783036547497
- Collation
- 334
- Series Title
- -
- Call Number
- -
Advances in Machine Learning and Mathematical Modeling for Optimization Problems
The Internet of Things (IoT) encompasses a wide range of applications and service domains, from smart cities, autonomous vehicles, surveillance, medical devices, to crop control. Virtualization in wireless sensor networks (WSNs) is widely regarded as the most revolutionary technological technique used in these areas
- Edition
- -
- ISBN/ISSN
- 9783036577401
- Collation
- 280
- Series Title
- -
- Call Number
- -
Regularity of the One-phase Free Boundaries
This open access book is an introduction to the regularity theory for free boundary problems. The focus is on the one-phase Bernoulli problem, which is of particular interest as it deeply influenced the development of the modern free boundary regularity theory and is still an object of intensive research. The exposition is organized around four main theorems, which are dedicated to the on…
- Edition
- 1st Edition
- ISBN/ISSN
- 9783031132384
- Collation
- XIII, 247
- Series Title
- 28
- Call Number
- -
Design of Heuristic Algorithms for Hard Optimization
This open access book demonstrates all the steps required to design heuristic algorithms for difficult optimization. The classic problem of the travelling salesman is used as a common thread to illustrate all the techniques discussed. This problem is ideal for introducing readers to the subject because it is very intuitive and its solutions can be graphically represented. The book features a we…
- Edition
- 1
- ISBN/ISSN
- 978-3-031-13714-3
- Collation
- -
- Series Title
- Graduate Texts in Operations Research
- Call Number
- XV, 287
Numerica :a modeling language for global optimization
Many science and engineering applications require the user to find solutions to systems of nonlinear constraints or to optimize a nonlinear function subject to nonlinear constraints. The field of global optimization is the study of methods to find all solutions to systems of nonlinear constraints and all global optima to optimization problems. Numerica is modeling language for global optimizati…
- Edition
- -
- ISBN/ISSN
- 9780262288408
- Collation
- 1 online resource (xvii, 210 pages) :illustrations
- Series Title
- -
- Call Number
- -
Online stochastic combinatorial optimization
"Online decision making under uncertainty and time constraints represents one of the most challenging problems for robust intelligent agents. In an increasingly dynamic, interconnected, and real-time world, intelligent systems must adapt dynamically to uncertainties, update existing plans to accommodate new requests and events, and produce high-quality decisions under severe time constraints. S…
- Edition
- -
- ISBN/ISSN
- 9780262257152
- Collation
- 1 online resource (xiii, 232 pages) :illustrations
- Series Title
- -
- Call Number
- -
Ant colony optimization
"A Bradford book."An overview of the rapidly growing field of ant colony optimization that describes theoretical findings, the major algorithms, and current applications.The complex social behaviors of ants have been much studied by science, and computer scientists are now finding that these behavior patterns can provide models for solving difficult combinatorial optimization problems. The atte…
- Edition
- -
- ISBN/ISSN
- 9780262256032
- Collation
- 1 online resource (xi, 305 pages) :illustrations
- Series Title
- -
- Call Number
- -
Perturbations optimization and statistics
A description of perturbation-based methods developed in machine learning to augment novel optimization methods with strong statistical guarantees.In nearly all machine learning, decisions must be made given current knowledge. Surprisingly, making what is believed to be the best decision is not always the best strategy, even when learning in a supervised learning setting. An emerging body of wo…
- Edition
- -
- ISBN/ISSN
- 9780262337939
- Collation
- 1 online resource (ix, 401 pages).
- Series Title
- -
- Call Number
- -
Optimization for machine learning
An up-to-date account of the interplay between optimization and machine learning, accessible to students and researchers in both communities.The interplay between optimization and machine learning is one of the most important developments in modern computational science. Optimization formulations and methods are proving to be vital in designing algorithms to extract essential knowledge from hug…
- Edition
- -
- ISBN/ISSN
- 9780262298773
- Collation
- 1 online resource (ix, 494 pages) :illustrations.
- Series Title
- -
- Call Number
- -
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