Name: Genetic Algorithms to Solve Optimization Problems in Water Engineering (en Inglés)
Price: 99.28 USD
Availability: InStock
Author: Dehghan, Shahide ; Soltani, Morteza ; Gholami, Hossein
ISBN: 9786206151975

portada Genetic Algorithms to Solve Optimization Problems in Water Engineering (en Inglés)

Formato

Libro Físico

Autor

Hossein Gholami

Shahide Dehghan

Morteza Soltani

Editorial

LAP Lambert Academic Publishing

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

Dimensiones

22.9 x 15.2 x 0.6 cm

Peso

0.15 kg.

ISBN13

9786206151975

Categorías

Ciencias matemáticas

Genetic Algorithms to Solve Optimization Problems in Water Engineering (en Inglés)

Hossein Gholami (Autor) · Shahide Dehghan (Autor) · Morteza Soltani (Autor) · LAP Lambert Academic Publishing · Tapa Blanda

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Reseña del libro "Genetic Algorithms to Solve Optimization Problems in Water Engineering (en Inglés)"

Due to the importance of economic issues in engineering and design works, the issue of cost should be taken into consideration in the plans and implementation of construction and operation operations. In the last 50 years, the development of hardware facilities and numerical methods have made it possible to simulate the hydraulic behavior of the network even for very large networks, while the problem of determining the optimal design even for small networks remains remained. Considering that the water distribution network optimization problem is inherently a non-linear problem with a large number of discrete variables, recent research has focused on stochastic methods. Therefore, genetic algorithm was used in this research. The design of urban water transmission networks is always designed based on the minimum allowable pressure. In this research, the pressure exceeding the permissible limit is also considered as a design criterion. Although adding this parameter as a design criterion leads to a more expensive network, it leads to a longer useful life of the network. The optimization of the water distribution network using genetic algorithm (GA) technique with the design.