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Deriving Rule curve Based on Standard Operating Policy and Using Hybrid Models of Hedging Rule-Genetic Algorithm and Linear Programing-Hedging Rule

کلیدواژه: Genetic Algorithm,Linear Programming,Optimal operation,Hedging,Rule curve

نویسندگان: Ravanshadnia S., QADERI K., SAMARE HASHEMI M.

ناشر: آبیاری و زهکشی ایران - Iranian Journal of Irrigation and Drainage

Dam rule curves should be derived using operation models and considering reservoir storage as well as input flows, which results in better management of reservoir water. In this paper, rule curves of Doroudzan dam in Fars province, has been derived, using standard operating policy (SOP), hedging rul... ادامه

سال:2020

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A Hybrid New Keynesian Phillips curve in framework a Dynamic Stochastic General Equilibrium Model

کلیدواژه: New Keynesian Phillips curve,Estimation,inflation,Dynamicstochastic General Equilibrium,Monetary polic

نویسندگان: Kiyanpor Parto, Aminifard Abbass, ZARE HASHEM, EBRAHIMI MEHRZAD

ناشر: مطالعات و سیاست های اقتصادی - Journal of Economic Studies and Policies

The identification and explanation of the relationship between inflation and unemployment in the country’ s economy has a special place in the process of economic and political decision-making. Assessing the relation between inflation and unemployment can help policymakers and economists to a... ادامه

سال:2019

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Developing a Hybrid Model to Estimate Expected Return Based on Genetic Algorithm

کلیدواژه: The results show that applying the hybrid model increases the predictive power of realized return compared to other research models

نویسندگان: Asima Mehdi, Abbaszadeh Asl Amir Ali

ناشر: تحقیقات مالی - Financial Research Journal

Objective: Capital asset pricing model (CAPM) has been among the most common models to estimate the expected return. In the standard CAPM model, a) the beta coefficient is fixed and b) the relationship between stock returns and market returns is assumed to be linear. While in financial markets, it i... ادامه

سال:2019

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Evaluation of Random Forest-Genetic Algorithm Hybrid Model in Estimating Daily Solar Radiation

کلیدواژه: Ardabil,Intelligent Models,Optimization,Solar Energy

نویسندگان: Hashemi Sajjad, Samadianfard Saeed, Sadraddini Ali Ashraf

ناشر: محیط زیست و مهندسی آب - Environment and Water Engineering

Solar energy is the most important source of renewable energy, in other words, the main source of energy on Earth. Therefore, estimating the solar radiation parameter with high accuracy is very important. In this regard, in the present study, meteorological data of 3 meteorological stations of Ardab... ادامه

سال:2022

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Efficiency of Regression, ANN and ANN-algorithm Genetic Hybrid Models in the Evaluation of Wind Erosion

کلیدواژه: Dust,Cla,Organic Matter,MLP,Perceptron

نویسندگان: Ebrahimi Shahin, MOHAMMADI TORKASHVAND ALI, ESFANDIARI MEHRDAD, AHMADI ABBAS

ناشر: حفاظت منابع آب و خاک - JOURNAL OF WATER AND SOIL RESOURCES CONSERVATION

Background and Aim: Wind erosion has occurred in a large part of Iran, which has caused land degradation and reduced fertility along with environmental effects. Identifying erosion-sensitive areas can help natural resource and environmental managers in soil conservation planning. Methods: This study... ادامه

سال:2022

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A Hybrid Model of Stochastic Dynamic Programming and Genetic Algorithm for Multistage Portfolio Optimization with GlueVaR Risk Measurement

کلیدواژه: Portfolio optimization,Stochastic dynamic programming,GlueVaR risk measurement,Genetic algorithm,Scenario constructiom

نویسندگان: Ghandehari Maryam, AZAR ADEL, YAZDANIAN AHMAD REZA, Golarzi Gholamhossein

ناشر: مدیریت صنعتی - Industrial Management Journal

Objective: The selection of an optimal investment portfolio for a long-term period does not seem logical. So the investors should update their investment portfolios over specific time periods if needed. Since the problem dimensions significantly increase after the periods, a definitive solution to t... ادامه

سال:2019

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Multi-Objective Modeling of Green Vehicle Routing Problem Using a Hybrid Extreme Learning Machine (ELM) and Genetic Programming (GP)

کلیدواژه: Vehicle Routing Problem, Multi-Objective Model, Delivery and Pickup, Probabilistic demand, Extreme Learning Machine, Genetic Programming

نویسندگان: Ershadi Mohammad Mehdi, Momeni Sharifabad Mahsa, Ershadi Mohammad Javad, Azizi Amir, Behzadi pour Samaneh

ناشر: مدیریت زنجیره تامین - Supply Chain Management

Transportation plays a significant role in the gross domestic product and oil consumption of every nation. In our country, a combination of recent sanctions and underdeveloped rail, air, and sea transportation systems has led to an increased reliance on road transport. Unfortunately, road transport ... ادامه

سال:2024

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Comparison of Stock Index Forecasting Using Hybrid Models Based on Genetic Algorithm and Harmonic Search with Artificial Neural Network

کلیدواژه: Genetic Algorithms,Harmony Search,Artificial Neural Networks

نویسندگان: DAVALLOU MARYAM, Heidari Toktam

ناشر: اقتصاد مقداری - Journal of Quantitative Economics

This paper is aimed to compare stock index forecasting using hybrid models based on Genetic Algorithm (GA) and Harmonic Search (HS) with Artificial Neural Network (ANN). The most relevant technical indicators as inputs and the optimal number of neurons in hidden layer of Artificial Neural Network de... ادامه

سال:2018

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Optimization and Modeling of Plasma Cutting of AISI 309 Stainless Steel by Using Neural Network-Genetic Algorithm Hybrid Model

کلیدواژه: Plasma cutting,ANN,Kerf,HAZ,Ra

نویسندگان: Mirabdolahi S.M., ABOOTORABI M.M.

ناشر: مهندسی مکانیک مدرس - Modares Mechanical Engineering

In plasma cutting, a noble gas at high speed is blown from the nozzle and ionized with the help of a frequency spark at high voltage and an electric arc is created which cause the gas changes to the plasma state. Plasma cutting is an ideal process for cutting of the hard metals. In this research, th... ادامه

سال:2019

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The efficiency of Data-Driven Models for Months ahead Groundwater Level Forecasting Using a Hybrid Gamma Test and Genetic Algorithm Model

کلیدواژه: Groundwater levels,Gamma Test,Artificial neural network,SVR,Genetic Algorithm

نویسندگان: mirarabi ali, Naseri Hamidreza, NAKHAEI MOHAMMAD, Alijani Farshad

ناشر: زمین شناسی کاربردی پیشرفته - ADVANCED APPLIED GEOLOGY

In order to implement sustainable groundwater resources management, it is necessary to model the behavior of groundwater level. Groundwater is a nonlinear and complex system which Data-driven models can be modeled this system without approximation and simplification. This study evaluates the perform... ادامه

سال:2018

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