Development of future-oriented optimal rule in simultaneously operation of aquifer-reservoir system, genetic programming approach

Created by W.Langdon from gp-bibliography.bib Revision:1.8562

@PhdThesis{Fallah-Mehdipour:thesis,

• author = "Elahe Fallah-Mehdipour",
• title = "Development of future-oriented optimal rule in simultaneously operation of aquifer-reservoir system, genetic programming approach",
• school = "University of Tehran",
• year = "2014",
• address = "Iran",
• keywords = "genetic algorithms, genetic programming",
• URL = "https://www.researchgate.net/publication/288838838_Development_of_future-oriented_optimal_rule_in_simultaneously_operation_of_aquifer-_reservoir_system_genetic_programming_approach",
• abstract = "In the recent decades, limitation and non-uniform distribution of surface and groundwater resources have indicated necessity of these resources operation simultaneously. On the other hand, in a long-term operation, there are no considerations to further surface and groundwater resource conditions as a conjunctive system and how supplying demands of different periods. The aforementioned reasons can cause significant shortages at some periods. Optimization methods are capable tools to extract the best (optimal or near-optimal) operation alternative in which not only current period, but also all periods have the same value in the planning horizon. However, the best alternative of optimization process in the long-term operation is in accordance with certain conditions of system. In the real conditions, it is necessary to use rule/s that present the best operational alternative includes optimal discharges of surface and ground water resources considering previous and current system conditions. In a conjunctive aquifer-dam system, these rules are a set of mathematical equations between various system conditions such as the amount of inflow to dam, storage volume dam and water level aquifer as the water resource indicators and water withdraw from the aquifer and dam as the allocated values to the different demands. Genetic programming (GP) is one of the evolutionary methods that presented prospective operational rule simultaneously inflow prediction in reservoir system using variables, functions and operators. In the present study, operational rules of aquifer-dam system in Karaj region have been extracted by developed GP. The results indicate that the developed algorithm is called, fixed length genes genetic programming (FLGGP), 32.58 percent decreased (improved) sum of squared normalized deviations of allocated water from demands in the different periods and regions as the objective function compare to the linear operational rules.",
• notes = "Supervisor: Omid Bozorg Haddad",

}

Genetic Programming entries for Elahe Fallah-Mehdipour

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