书目名称 | Natural Computing for Simulation-Based Optimization and Beyond |
编辑 | Silja Meyer-Nieberg,Nadiia Leopold,Tobias Uhlig |
视频video | |
概述 | 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.Exam |
丛书名称 | SpringerBriefs in Operations Research |
图书封面 |  |
描述 | 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 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 brie |
出版日期 | Book 2020 |
关键词 | Simulation-Based Optimization; Simulation; Natural Computing; Evolutionary Algorithms; Swarm-Based Metho |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-030-26215-0 |
isbn_softcover | 978-3-030-26214-3 |
isbn_ebook | 978-3-030-26215-0Series ISSN 2195-0482 Series E-ISSN 2195-0504 |
issn_series | 2195-0482 |
copyright | The Author(s), under exclusive license to Springer Nature Switzerland AG 2020 |