NDLI: Estratégias Operacionais para Sistemas de Reservatórios via Algoritmos Genéticos (AGs)

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Estratégias Operacionais para Sistemas de Reservatórios via Algoritmos Genéticos (AGs)

Content Provider	Semantic Scholar
Author	Reis, Luisa F. R. Akutsu, Jorge
Copyright Year	2002
Abstract	Reservoirs are generally essential components of water resources systems and their operational planning constitutes a target of investigation. In view of the characteristic degree of difficulty related to the operational strategy determination, increasing according to the system dimensions, several approaches have been proposed for their resolution. Currently, the increasing use of techniques inspired by robust mechanisms of nature has presented Genetic Algorithms (GAs) as alternative tools to solve such problems. However, there are several possible implementation procedures, besides the possibility of hybridization with conventional mathematical programming techniques, which help reduce the computing effort in the search of good solutions. The present study aims at reviewing the relevant literature related to the procedures used to solve reservoir operation problems by using Genetic Algorithms (GAs) and demonstrating the potentials of the method through a simple example of application to a hypothetical hydrothermal system with four hydroelectric plants. It is organized to formulate the problem, emphasize the different possibilities of implementing GA techniques, review existing studies and present some results obtained for the system analyzed system in order to foster further research.
Starting Page	5
Ending Page	17
Page Count	13
File Format	PDF HTM / HTML
DOI	10.21168/rbrh.v7n3.p5-17
Alternate Webpage(s)	https://abrh.s3.sa-east-1.amazonaws.com/Sumarios/100/b2f6f38ad9e258adaed3317a0e7ef971_05561121ae172a8ea33a2ac6ed0cf695.pdf
Alternate Webpage(s)	https://doi.org/10.21168/rbrh.v7n3.p5-17
Volume Number	7
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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