Overview
- Bridges the gap between the areas of simulation studies and optimization with natural computing
- First consideration of evolutionary data farming and digital games in simulation-based optimization
- Examines the use of behavioral and controller learning in simulation
Part of the book series: SpringerBriefs in Operations Research (BRIEFSOPERAT)
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Table of contents (4 chapters)
Keywords
About this book
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 withsimulation 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.
Authors and Affiliations
About the authors
Nadiia Leopold is a doctoral student at the Department of Computer Science of the Universität der Bundeswehr München, Germany and a researcher at the ITIS GmbH. She received her degree in computer science from the National Aviation University, Kyiv Ukraine. Her research interests include modeling and simulation, optimization, and data analysis.
Tobias Uhlig is a postdoctoral researcher at the Universitat der Bundeswehr Munchen, Germany. He holds an M.Sc. degree in Computer Science from Dresden University of Technology and a Ph.D. degree in Computer Science from the Universitat der Bundeswehr Munchen. His research interests include operational modeling, natural computing and heuristic optimization. He is a member of the ASIM and the IEEE RAS Technical Committee on Semiconductor Manufacturing Automation. He is one of the founding members of the ASIM SPL work group BeESPL. He is the author of Self-Replicating Individuals.
Bibliographic Information
Book Title: Natural Computing for Simulation-Based Optimization and Beyond
Authors: Silja Meyer-Nieberg, Nadiia Leopold, Tobias Uhlig
Series Title: SpringerBriefs in Operations Research
DOI: https://doi.org/10.1007/978-3-030-26215-0
Publisher: Springer Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: The Author(s), under exclusive license to Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-26214-3Published: 07 August 2019
eBook ISBN: 978-3-030-26215-0Published: 26 July 2019
Series ISSN: 2195-0482
Series E-ISSN: 2195-0504
Edition Number: 1
Number of Pages: VII, 60
Number of Illustrations: 7 b/w illustrations, 2 illustrations in colour