Natural computing for simulation-based optimization and beyond / Silja Meyer-Nieberg, Nadiia Leopold, Tobias Uhlig.
Meyer-Nieberg, Silja, author.; Leopold, Nadiia, author.; Uhlig, Tobias, author.
2020
QA76.9.N37 M49 2020eb
Available Online

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Title Natural computing for simulation-based optimization and beyond / Silja Meyer-Nieberg, Nadiia Leopold, Tobias Uhlig.
Author Meyer-Nieberg, Silja, author.
ISBN 9783030262150 (electronic book)
3030262154 (electronic book)
9783030262143
DOI https://doi.org/10.1007/978-3-030-26215-0
https://doi.org/10.1007/978-3-030-26
Published Cham : Springer, [2020]
Copyright ©2020
Language English
Description 1 online resource : illustrations.
Item Number 10.1007/978-3-030-26215-0 doi
10.1007/978-3-030-26
Call Number QA76.9.N37 M49 2020eb
Dewey Decimal Classification 006.3/8
Summary This SpringerBrief bridges the gap between the areas of simulation studies on the one hand, and optimization with natural computing on the other. Since natural computing methods have been applied with great success in several application areas, a review concerning potential benefits and pitfalls for simulation studies is merited. The brief presents such an overview and combines it with an introduction to natural computing and selected major approaches, as well as with a concise treatment of general simulation-based optimization. As such, it is the first review which covers both the methodological background and recent application cases. The brief is intended to serve two purposes: First, it can be used to gain more information concerning natural computing, its major dialects, and their usage for simulation studies. It also covers the areas of multi-objective optimization and neuroevolution. While the latter is only seldom mentioned in connection with simulation studies, it is a powerful potential technique. Second, the reader is provided with an overview of several areas of simulation-based optimization which range from logistic problems to engineering tasks. Additionally, the brief focuses on the usage of surrogate and meta-models. The brief presents recent application examples.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed August 27, 2019).
Added Author Leopold, Nadiia, author.
Uhlig, Tobias, author.
Series SpringerBriefs in operations research.
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Record Appears in Online Resources > Ebooks
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Chapter 1. Introduction to Simulation-Based Optimization
Chapter 2. Natural Computing and Optimization
Chapter 3. Simulation-based Optimization
Chapter 4 Conclusions.

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