| 期刊全称 | Bionic Optimization in Structural Design | | 期刊简称 | Stochastically Based | | 影响因子2023 | Rolf Steinbuch,Simon Gekeler | | 视频video | | | 发行地址 | Focus on the optimization of high-dimensional problems.Easily applicable by pseudo-code examples.Practical implementation and application.Includes supplementary material: | | 图书封面 |  | | 影响因子 | .The book provides suggestions on how to start using bionic optimization methods, including pseudo-code examples of each of the important approaches and outlines of how to improve them. The most efficient methods for accelerating the studies are discussed. These include the selection of size and generations of a study’s parameters, modification of these driving parameters, switching to gradient methods when approaching local maxima, and the use of parallel working hardware..Bionic Optimization means finding the best solution to a problem using methods found in nature. As Evolutionary Strategies and Particle Swarm Optimization seem to be the most important methods for structural optimization, we primarily focus on them. Other methods such as neural nets or ant colonies are more suited to control or process studies, so their basic ideas are outlined in order to motivate readers to start using them..A set of sample applications shows how Bionic Optimization works in practice. From academic studies on simple frames made of rods to earthquake-resistant buildings, readers follow the lessons learned, difficulties encountered and effective strategies for overcoming them. For the problem of | | Pindex | Book 2016 |
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发表于 2025-3-21 18:09:20
