Name: Advancing Robust Multi-Objective Optimisation Applied to Complex Model-Based Water-Related Problems (Ihe Delft phd Thesis Series) (en Inglés)
SKU: 52572695
Price: 81.11 USD
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Author: Oscar Osvaldo Marquez Calvo

portada Advancing Robust Multi-Objective Optimisation Applied to Complex Model-Based Water-Related Problems (Ihe Delft phd Thesis Series) (en Inglés)

Advancing Robust Multi-Objective Optimisation Applied to Complex Model-Based Water-Related Problems (Ihe Delft phd Thesis Series) (en Inglés)

Formato

Libro Físico

Editorial

Crc Press

Autor

Oscar Osvaldo Marquez Calvo

Año

2020

Idioma

Inglés

N° páginas

184

Encuadernación

Tapa Blanda

ISBN13

9780367460433

N° edición

Categorías

Ciencia, ingeniería y tecnología medioambientales

Advancing Robust Multi-Objective Optimisation Applied to Complex Model-Based Water-Related Problems (Ihe Delft phd Thesis Series) (en Inglés)

Oscar Osvaldo Marquez Calvo (Autor) · Crc Press · Tapa Blanda

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Reseña del libro "Advancing Robust Multi-Objective Optimisation Applied to Complex Model-Based Water-Related Problems (Ihe Delft phd Thesis Series) (en Inglés)"

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.