Natural Computing for Simulation-Based Optimization and Beyond
Springer International Publishing (Verlag)
978-3-030-26214-3 (ISBN)
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.
Silja Meyer-Nieberg is a postdoctoral researcher at the ITIS GmbH. She holds a Ph.D. degree in Computer Science from the Technical University of Dortmund and obtained her venia legendi in Computer Science at the Bundeswehr University Munich. Her research interests include modeling, simulation-based optimization, metaheuristics, and computational intelligence. She is a member of the IEEE and GI societies and serves currently in the Editorial Board of Applied Soft Computing. 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.
Chapter 1. Introduction to Simulation-Based Optimization.- Chapter 2. Natural Computing and Optimization.- Chapter 3. Simulation-based Optimization.- Chapter 4 Conclusions.
| Erscheinungsdatum | 09.08.2019 |
|---|---|
| Reihe/Serie | SpringerBriefs in Operations Research |
| Zusatzinfo | VII, 60 p. 9 illus., 2 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 118 g |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Angewandte Mathematik |
| Wirtschaft ► Allgemeines / Lexika | |
| Wirtschaft ► Betriebswirtschaft / Management ► Unternehmensführung / Management | |
| Schlagworte | Data Farming • evolutionary algorithms • Industrial Optimization • Multiobjective Optimization • Natural Computing • Simulation • Simulation-Based Optimization • Soft Simulations • Swarm-Based Methods |
| ISBN-10 | 3-030-26214-6 / 3030262146 |
| ISBN-13 | 978-3-030-26214-3 / 9783030262143 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
aus dem Bereich
