Recent Advances in Computational Optimization

Results of the Workshop on “Computational Optimization” and “Numerical Search and Optimization” 2018

Buch | Hardcover

X, 237 Seiten

2019 | 1st ed. 2020
Springer International Publishing (Verlag)
978-3-030-22722-7 (ISBN)

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This book presents new optimization approaches and methods and their application in real-world and industrial problems. Numerous processes and problems in real life and industry can be represented as optimization problems, including modeling physical processes, wildfire, natural hazards and metal nanostructures, workforce planning, wireless network topology, parameter settings for controlling different processes, extracting elements from video clips, and management of cloud computing environments. This book shows how to develop algorithms for these problems, based on new intelligent methods like evolutionary computations, ant colony optimization and constraint programming, and demonstrates how real-world problems arising in engineering, economics and other domains can be formulated as optimization problems. The book is useful for researchers and practitioners alike.

Preface.- Organization.- Chapter 1. Developing a Method for Measuring the Failover Times of First Hop Redundancy within Video Networks.- Chapter 2. Desktop application developed by open source tools for optimizations in cases of natural hazards and field response. Chapter 3. Data optimizations on Kresna Fire (2017) as inputs for WFA simulations.- Chpater 4. Solving Sorting of Rolling Stock Problems utilizing pseudochain structures in Graphs, etc.

Erscheinungsdatum	06.07.2019
Reihe/Serie	Studies in Computational Intelligence
Zusatzinfo	X, 237 p. 114 illus., 65 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	529 g
Themenwelt	Informatik ► Theorie / Studium ► Algorithmen
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Mathematik / Informatik ► Mathematik ► Analysis
	Technik
Schlagworte	Algorithms for Problems • Computational Intelligence • evolutionary computation • Intelligent Systems • Metaheuristic methods • WCO 2018
ISBN-10	3-030-22722-7 / 3030227227
ISBN-13	978-3-030-22722-7 / 9783030227227
Zustand	Neuware