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A Hybrid Mathematical Programming Model for Densities of Alkanol + Alkanediol Mixtures Using bacterial foraging optimization Algorithm

کلیدواژه: Density,Spencer–Danner equation,Alkanol,Alkanediol,Improved bacterial foraging optimization

نویسندگان: Noorzad Fazel, Pirdashti Mohsen, Dragoi Elena Niculina, Babaei Nobijari Yousef

ناشر: - Iranian Journal of Chemistry and Chemical Engineering - Iranian Journal of Chemistry and Chemical Engineering

In this work, the densities of pure and binary mixtures of 1-pentanol or 1-decanol with 1, 2-ethanediol or 1, 2-propanediol or 1, 3-butanediol or 2, 3-butanediol were measured at atmospheric pressure and temperatures between 288. 15K and 313. 15K. For the considered system, two types of models were ... ادامه

سال:2022

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Ethical Banking Education optimization Model

کلیدواژه: Ethics,Education optimization,Ethical banking

نویسندگان: Golshanpour Ataghverdi mansour, REZVANI CHAMANZAMIN MOUSA, HAZRATI MORTEZA

ناشر: اخلاق در علوم و فناوری - Ethics in Science and Technology

Background: Ethical banking is a set of banking activities with full respect for human rights, commitment to healthy competition and responsibility and accountability for behaviors. The purpose of this research is to provide a model for optimizing ethical banking training in Iran's Workers' Welfare ... ادامه

سال:2023

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A Hybrid Robust optimization Model for Day-Ahead Management of Active Distribution Networks

کلیدواژه: Robust optimization,Info-gap decision theory,Day-ahead market,Real-time market,Two-level optimization

نویسندگان: Aboli Reza, RAMEZANI MARYAM, FALAGHI HAMID

ناشر: مهندسی برق دانشگاه تبریز - Tabriz Journal of Electrical Engineering

In this paper, a hybrid day-ahead robust optimization model is presented for the optimal operation of active distribution networks subject to real-time operation. Maintaining the convex structure of the problem with load flow equations is the most important goal in how to robust modeling of uncertai... ادامه

سال:2019

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Modeling and optimization of Hybrid Energy Systems Using Techno-economic and Environmental Characteristics

کلیدواژه: Renewable Energy Hybrid Energy System Multi, objective Optimization Multi, criteria Decision Analysis Sustainable Development

نویسندگان: Abdollahi Seyyed Amirreza, Ahrari Mahmoud, Ghazizadeh Ahsaee Mahdi

ناشر: کارافن - Karafan

The development of energy technologies with high efficiency, reliability and free from environmental contaminants is of great importance for sustainable development. The main goal of this research was the multi-objective techno-economic-environmental optimization of hybrid renewable energy systems p... ادامه

سال:2024

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Multi-Objective Portfolio optimization Model with Fuzzy-Robust Hybrid Approach (As a case:Tehran Stock Exchange)

کلیدواژه: portfolio, Multi-Objective optimization, Zimmermann fuzzy approach, Minimax regret, robustness

نویسندگان: Jaberi Mahsa, Mohammadi Emran, Azizi Amir

ناشر: بورس اوراق بهادار - JOURNAL OF SECURITIES EXCHANGE

The novel theory of the portfolio optimization has developed based on the fundamental Markowitz model. The Markowitz model is unique in terms of theory, but its weaknesses prevent the use of this model in practice. In this model, the return rate is extracted based on past data, but in this research,... ادامه

سال:2022

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Venture Capital Portfolio optimization through Hybrid Approach of Agent-Based Modeling and Modified Harmony Search

کلیدواژه: Venture capital,Agent-based modeling,Harmony search,Particle swarm optimization,Adaptive Network Fuzzy Inference System

نویسندگان: Hasheminejad Seyed Ali, BAGHERPOUR MORTEZA

ناشر: تحقیقات مالی - Financial Research Journal

Objective: Increasing the competitiveness of countries in the world can be reached only through innovation and the financial aspect is the most important pillar of a national innovation system. Hence, the role of venture capital in developing knowledge-based institutions is vital. However, startup p... ادامه

سال:2020

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Designing a Model of Factors Influencing FinTech optimization in the Financial Market Using a Hybrid Approach

کلیدواژه: FinTech,optimization,financial market,hybrid approach

نویسندگان: Ghasemzadeh Esmat, Keramati Mohammad Ali, Mehrinejad Safia, Mehrani Azadeh

ناشر: مدیریت، آموزش و توسعه در عصر دیجیتال - Management, Education and Development in Digital Age

The present study examines the factors influencing the optimization of FinTech in financial markets using a hybrid approach. FinTech, as one of the fundamental transformations in the financial world, has significantly altered financial interactions, particularlythrough the application of advanced te... ادامه

سال:2024

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Statistical Modeling and optimization of Thrust Force and Surface Roughness in Drilling Hybrid Aluminum Matrix Composites

کلیدواژه: Metal Matrix Composite,Drilling,Thrust Force,Surface Roughness,Optimization

نویسندگان: Tahmasbi V., Sousanabadi Farahani A., Baghi M.H., Ghazi khansari D.

ناشر: مهندسی مکانیک مدرس - Modares Mechanical Engineering

Metal composites have received attention from various industries due to their excellent properties, such as a high strength-to-weight ratio and wear resistance. However, due to the presence of hard and abrasive particles, the challenges have always faced machining. Therefore, studying the effective ... ادامه

سال:2023

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optimization of Hyperparameters in Hybrid Deep Learning Models for Sleep Apnea Detection Using Swarm Intelligence Algorithms

کلیدواژه: Sleep Apnea, HoneyBadger Optimizer, GreyWolf Optimizer, Convolutional neural network, Deep Recurrent Neural Network

نویسندگان: Fotouhi-Ghazvini Faranak, Badiee Maryam

ناشر: پژوهش های نظری و کاربردی هوش ماشینی - Journal of Applied and Basic Machine Intelligence Research

This study investigates the efficiency of CNN-DRNN hybrid classifiers in detecting sleep apnea using electrocardiogram (ECG) signals. Various CNN models were evaluated, including AlexNet, VGG16, VGG19, and ZFNet, along with DRNN models such as LSTM, GRU, and BiLSTM. These models were compared with a... ادامه

سال:2025

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Prediction of Fiscal Decentralization Considerring Energy Consumption and Environmental Effects: By using Hybrid Intelligent Models optimization Algorithms

کلیدواژه: Fiscal decentralization, Artificial neural network, Energy consumption

نویسندگان: Anvari Ebrahim, Jafari Elham, Farazmand Hassan, Montazer Hojet Amir Hossein

ناشر: اقتصاد باثبات - Stable Economy Journal

Fiscal decentralization refers to the transfer of responsibility and authority of revenue and spending decisions from the central government to lower levels. In recent years, with the increase in energy consumption, global warming, carbon emissions, and climate change, the issue of fiscal decentrali... ادامه

سال:2024

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