Produktnummer:
187af67631ef094993a22b48dd37f39d71
| Themengebiete: | Algorithms Artificial Intelligence Artificial Neural Networks Bioinspired Algorithms Evolutionary Algorithms Genetic Algorithms Hybrid Algorithms Metaheuristic Algorithms Optimization Optimum Design |
|---|---|
| Veröffentlichungsdatum: | 16.06.2023 |
| EAN: | 9783031347276 |
| Sprache: | Englisch |
| Seitenzahl: | 305 |
| Produktart: | Gebunden |
| Herausgeber: | Bekdas, Gebrail Nigdeli, Sinan Melih |
| Verlag: | Springer International Publishing |
| Untertitel: | Including Machine Learning Applications |
Produktinformationen "Hybrid Metaheuristics in Structural Engineering"
From the start of life, people used their brains to make something better in design in ordinary works. Due to that, metaheuristics are essential to living things, and several inspirations from life have been used in the generation of new algorithms. These algorithms have unique features, but the usage of different features of different algorithms may give more effective optimum results in means of precision in optimum results, computational effort, and convergence. This book is a timely book to summarize the latest developments in the optimization of structural engineering systems covering all classical approaches and new trends including hybrids metaheuristic algorithms. Also, artificial intelligence and machine learning methods are included to predict optimum results by skipping long optimization processes. The main objective of this book is to introduce the fundamentals and current development of methods and their applications in structural engineering.
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