Advancing Robust Multi-Objective Optimisation Applied to Complex Model-Based Water-Related Problems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advancing Robust Multi-Objective Optimisation Applied to Complex Model-Based Water-Related Problems write by Oscar Osvaldo Marquez Calvo. This book was released on 2020-02-07. Advancing Robust Multi-Objective Optimisation Applied to Complex Model-Based Water-Related Problems available in PDF, EPUB and Kindle. The exercise of solving engineering problems that require optimisation procedures can be seriously affected by uncertain variables, resulting in potential underperforming solutions. Although this is a well-known problem, important knowledge gaps are still to be addressed. For example, concepts of robustness largely differ from study to study, robust solutions are generally provided with limited information about their uncertainty, and robust optimisation is difficult to apply as it is a computationally demanding task. The proposed research aims to address the mentioned challenges and focuses on robust optimisation of multiple objectives and multiple sources of probabilistically described uncertainty. This is done by the development of the Robust Optimisation and Probabilistic Analysis of Robustness algorithm (ROPAR), which integrates widely accepted robustness metrics into a single flexible framework. In this thesis, ROPAR is not only tested in benchmark functions, but also in engineering problems related to the water sector, in particular the design of urban drainage and water distribution systems. ROPAR allows for employing practically any existing multi-objective optimisation algorithm as its internal optimisation engine, which enables its applicability to other problems as well. Additionally, ROPAR can be straightforwardly parallelized, allowing for fast availability of results.
Advanced Hydroinformatics
Advanced Hydroinformatics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advanced Hydroinformatics write by Gerald A. Corzo Perez. This book was released on 2023-12-19. Advanced Hydroinformatics available in PDF, EPUB and Kindle. Advanced Hydroinformatics Advanced Hydroinformatics Machine Learning and Optimization for Water Resources The rapid development of machine learning brings new possibilities for hydroinformatics research and practice with its ability to handle big data sets, identify patterns and anomalies in data, and provide more accurate forecasts. Advanced Hydroinformatics: Machine Learning and Optimization for Water Resources presents both original research and practical examples that demonstrate how machine learning can advance data analytics, accuracy of modeling and forecasting, and knowledge discovery for better water management. Volume Highlights Include: Overview of the application of artificial intelligence and machine learning techniques in hydroinformatics Advances in modeling hydrological systems Different data analysis methods and models for forecasting water resources New areas of knowledge discovery and optimization based on using machine learning techniques Case studies from North America, South America, the Caribbean, Europe, and Asia The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals.
Socio-Inspired Optimization Methods for Advanced Manufacturing Processes
Socio-Inspired Optimization Methods for Advanced Manufacturing Processes - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Socio-Inspired Optimization Methods for Advanced Manufacturing Processes write by Apoorva Shastri. This book was released on 2020-08-11. Socio-Inspired Optimization Methods for Advanced Manufacturing Processes available in PDF, EPUB and Kindle. This book discusses comprehensively the advanced manufacturing processes, including illustrative examples of the processes, mathematical modeling, and the need to optimize associated parameter problems. In addition, it describes in detail the cohort intelligence methodology and its variants along with illustrations, to help readers gain a better understanding of the framework. The theoretical and statistical rigor is validated by comparing the solutions with evolutionary algorithms, simulation annealing, response surface methodology, the firefly algorithm, and experimental work. Lastly, the book critically reviews several socio-inspired optimization methods.
Advanced Hydroinformatic Techniques for the Simulation and Analysis of Water Supply and Distribution Systems
Advanced Hydroinformatic Techniques for the Simulation and Analysis of Water Supply and Distribution Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advanced Hydroinformatic Techniques for the Simulation and Analysis of Water Supply and Distribution Systems write by Manuel Herrera. This book was released on 2018-07-19. Advanced Hydroinformatic Techniques for the Simulation and Analysis of Water Supply and Distribution Systems available in PDF, EPUB and Kindle. This book is a printed edition of the Special Issue "Advanced Hydroinformatic Techniques for the Simulation and Analysis of Water Supply and Distribution Systems" that was published in Water
Application of Machine Learning Models in Agricultural and Meteorological Sciences
Application of Machine Learning Models in Agricultural and Meteorological Sciences - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Application of Machine Learning Models in Agricultural and Meteorological Sciences write by Mohammad Ehteram. This book was released on 2023-03-21. Application of Machine Learning Models in Agricultural and Meteorological Sciences available in PDF, EPUB and Kindle. This book is a comprehensive guide for agricultural and meteorological predictions. It presents advanced models for predicting target variables. The different details and conceptions in the modelling process are explained in this book. The models of the current book help better agriculture and irrigation management. The models of the current book are valuable for meteorological organizations. Meteorological and agricultural variables can be accurately estimated with this book's advanced models. Modelers, researchers, farmers, students, and scholars can use the new optimization algorithms and evolutionary machine learning to better plan and manage agriculture fields. Water companies and universities can use this book to develop agricultural and meteorological sciences. The details of the modeling process are explained in this book for modelers. Also this book introduces new and advanced models for predicting hydrological variables. Predicting hydrological variables help water resource planning and management. These models can monitor droughts to avoid water shortage. And this contents can be related to SDG6, clean water and sanitation. The book explains how modelers use evolutionary algorithms to develop machine learning models. The book presents the uncertainty concept in the modeling process. New methods are presented for comparing machine learning models in this book. Models presented in this book can be applied in different fields. Effective strategies are presented for agricultural and water management. The models presented in the book can be applied worldwide and used in any region of the world. The models of the current books are new and advanced. Also, the new optimization algorithms of the current book can be used for solving different and complex problems. This book can be used as a comprehensive handbook in the agricultural and meteorological sciences. This book explains the different levels of the modeling process for scholars.
