Optimization
Motion shape control of superstructure in base-isolated tall buildings using GBMO-based uniform deformation techniques

Sadegh Etedali

Articles in Press, Accepted Manuscript, Available Online from 31 December 2024

https://doi.org/10.22111/ieco.2024.49832.1620

Abstract
  This paper proposes three techniques aimed at enhancing the seismic performance of base-isolated tall buildings through uniform deformation of the superstructure. The first and second methods focus on generating a uniform modal shape and an even distribution of seismic loads across the floors, while ...  Read More

Optimization
DIAGNOSIS OF SUPERCAPACITOR STATE-OF-CHARGE IN ELECTRIC VEHICLE APPLICATIONS USING ARTIFICIAL NEURAL NETWORK

Saeid Moosavi; Mahmood Moghaddasian; Maryam Golpour

Articles in Press, Accepted Manuscript, Available Online from 04 February 2025

https://doi.org/10.22111/ieco.2024.48015.1542

Abstract
  In an electric vehicle, energy storage systems (ESSs) are critical for sinking and sourcing power as well as ensuring operational protection. Because of their high power density, quick charging or discharging, and low internal loss, supercapacitors (SCs) are a recent addition to the types of energy storage ...  Read More

Optimization
Assessment of Economic, Technical, Social, and Environmental Impact of Flexibility-based Smart Microgrid Operation

Faezeh Gholipour Zarandi; Masoud Rashidinejad; Amir Abdollahi; Ali Yazhari Kermani

Volume 8, Issue 1 , March 2025, , Pages 57-66

https://doi.org/10.22111/ieco.2024.48762.1568

Abstract
  The proliferation of renewable energy sources, with their inherent uncertainty in smart microgrids, necessitates the use of flexible resources to maintain grid stability. However, implementing these flexibility-based approaches can have a multidimensional impact, including economic, technical, social, ...  Read More

Optimization
Addressing Dependent Data in Constrained Optimization Problems: A WOA-based Algorithm

Asieh Ghanbarpour; Soheil Zaremotlagh; Fahimeh Dabaghi-Zarandi

Volume 7, Issue 2 , May 2024, , Pages 119-127

https://doi.org/10.22111/ieco.2024.47541.1523

Abstract
  Optimization algorithms are widely used in various fields to find the best solution to a problem by minimizing or maximizing an objective function, subject to certain constraints. This paper introduces the development and application of an innovative optimization algorithm (WOADD) designed to address ...  Read More

Optimization
Investigation of Deep Learning Optimization Algorithms in Scene Text Detection

Zobeir Raisi; John Zelek

Volume 6, Issue 3 , September 2023, , Pages 171-182

https://doi.org/10.22111/ieco.2023.45650.1480

Abstract
  Scene text detection frameworks heavily rely on optimization methods for their successful operation. Choosing an appropriate optimizer is essential to performing recent scene text detection models. However, recent deep learning methods often employ various optimization algorithms and loss functions without ...  Read More

Optimization
Improving Delay in SDNs by Metaheuristic Controller Placement

Maedeh Abedini Bagha; Kambiz MajidZadeh; Mohammad Masdari; Yousef Farhang

Volume 5, Issue 4 , December 2022, , Pages 286-296

https://doi.org/10.22111/ieco.2022.42638.1436

Abstract
  Software-defined networking is a new network model proposed to solve the complexity of traditional network problems and facilitate dynamic network operation and management. The separation of the control plane from the data plane is the main idea of software-defined networks. Controllers are the operating ...  Read More

Optimization
Improved Virtual Force Algorithm based on the States of Matter for Improving Coverage of Mobile Wireless Sensor Networks

Vahid Kiani; Azadeh Soltani

Volume 5, Issue 3 , October 2022, , Pages 215-230

https://doi.org/10.22111/ieco.2022.41163.1404

Abstract
  Sensor placement is a critical issue in wireless sensor networks that affects the quality of wireless sensor network coverage. In this paper, we propose an improved virtual force algorithm based on the states of matter (IVFASM) for relocating sensors of a mobile wireless sensor network. IVFASM simulates ...  Read More

Optimization
Design A Novel Ultrasonic Horn Using Electro-Mechanical Circuit Method and Optimization Algorithm

Davoud Mirzaei; Saeid Amini

Volume 5, Issue 3 , October 2022, , Pages 269-277

https://doi.org/10.22111/ieco.2022.41457.1409

Abstract
  In this paper, an ultrasonic horn based on the PSO algorithm for emulsion homogenization is optimized and fabricated. The application of various ultrasonic instruments such as horns in different industrial procedures is increasingly expanding and developing. Horn is a tool that has played a crucial role ...  Read More

Optimization
3LEE: A 3-Layer Effort Estimator for Software Projects

Amin Moradbeiky; Vahid Khatibi; Mehdi Jafari Shahbazzadeh

Volume 5, Issue 1 , March 2022, , Pages 31-42

https://doi.org/10.22111/ieco.2022.39878.1379

Abstract
  Managing software projects due to its intangible nature is full of challenges when predicting the effort needed for development. Accordingly, there exist many studies with the attempt to devise models to estimate efforts necessary in developing software. According to the literature, the accuracy of estimator ...  Read More

Optimization
Comprehensive Learning Polynomial Auto-Regressive Model based on Optimization with Application of Time Series Forecasting

Nastaran Darjani; Hesam Omranpour

Volume 5, Issue 1 , March 2022, , Pages 43-50

https://doi.org/10.22111/ieco.2021.39458.1374

Abstract
  Nowadays time series analysis is an important challenge in engineering problems. In this paper, we proposed the Comprehensive Learning Polynomial Autoregressive Model (CLPAR) predict linear and nonlinear time series. The presented model is based on the autoregressive (AR) model but developed in a polynomial ...  Read More

Optimization
A Novel Meta-heuristic Framework for Solving Power Theft Detection Problem: Cheetah Optimization Algorithm

Hassan Ghaedi; Seyed Reza Kamel Tabbakh Farizani; Reza Gaemi

Volume 5, Issue 1 , March 2022, , Pages 63-76

https://doi.org/10.22111/ieco.2022.39528.1370

Abstract
  In this paper, a two-level stacking technique with feature selection is used to detect power theft. The first level of this technique uses base classifiers such as support vector machine (SVM), naïve Bayes (NB), and AdaBoost selected by evaluating the F-score and diversity criteria. The appropriate ...  Read More

Optimization
Determining Optimal Value of Pole Arc to Pole Pitch Ratio in order to Increasing Average Torque and Decreasing Unbalance Magnetic Force in Hybrid Electrical Vehicle

Alireza HossienPour; Ahmad Khajeh

Volume 4, Issue 4 , November 2021, , Pages 445-451

https://doi.org/10.22111/ieco.2021.39216.1366

Abstract
  In this paper, the effects of magnetization patterns on the performance of Hybrid Electrical Vehicle (HEV) are investigated. HEVs have three magnetic field sources: armature winding, permanent magnets, and field winding. To initiate the investigation, the magnetic field distributions produced by these ...  Read More

Optimization
Hybrid Functions to Solve Fractional Optimal Control Problems Using the Collocation Method

Seyed Mehdi Shafiof; Javad Askari Marnani; Maryam Shamssolary

Volume 4, Issue 3 , August 2021, , Pages 299-311

https://doi.org/10.22111/ieco.2021.37207.1334

Abstract
  This article aims to introduce a modern numerical method based on the hybrid functions, consisting of the Bernoulli polynomials and Block-Pulse functions. An indirect approach is proposed for solving the fractional optimal control problems (FOCPs). Firstly, the two-point boundary value problem (TPBVP) ...  Read More

Optimization
Reconfiguring Distribution Networks by Means of Minimizing Power Loss and Considering Overcurrent Protection

Elham Khoshbakht Sangcar; Farhad Namdari; Mysam Doostizadeh

Volume 4, Issue 3 , August 2021, , Pages 321-331

https://doi.org/10.22111/ieco.2021.36302.1316

Abstract
  This paper studies the reciprocal impact of distribution network protection and reconfiguration of active Nowadays, with increasing energy consumption in distribution networks and the demand of consumers to buy highly reliable power, it is of high importance to establish adapt between protection and ...  Read More

Optimization
Multi-objective ORPD Considering Different Load Models for Active Distribution Networks

Saman Hosseini-Hemati; Shahram Karimi; Gholam Hossein Sheisi

Volume 4, Issue 2 , April 2021, , Pages 191-210

https://doi.org/10.22111/ieco.2020.33855.1261

Abstract
  Secure and economical operation of distribution networks needs the management of reactive power resources. Optimal Reactive Power Dispatch (ORPD) optimally manages the reactive power scheduling of generators and distribution generations as well as the Reactive Power Compensation (RPC) devices. This paper ...  Read More

Optimization
Woodpecker Mating Algorithm for Optimal Economic Load Dispatch in a Power System with Conventional Generators

Morteza Karimzadeh Parizi; Farshid Keynia; Amid Khatibi Bardsiri

Volume 4, Issue 2 , April 2021, , Pages 221-234

https://doi.org/10.22111/ieco.2020.35116.1296

Abstract
  The Economic Dispatch (ED) is one of the most important optimization problems in power systems the ultimate goal of the ED is to minimize the cost of operations in a power generation. In this paper, the Woodpecker Mating Algorithm (WMA) is used to solve the ED problem considering the nonlinear properties ...  Read More

Optimization
Optimal Design of a Brushless DC Motor Aiming at Decreasing Cogging Torque

Mina Salarian; Milad Niaz Azari; Mostafa Haji aghai

Volume 4, Issue 2 , April 2021, , Pages 235-244

https://doi.org/10.22111/ieco.2020.35118.1297

Abstract
  One of the important issues in designing high-performance brushless direct current (BLDC) motors is reducing the cogging torque since it results in mechanical vibration, audible noises, and torque ripples, which adversely impact the performance of the motor, which is awkward high-accuracy applications. ...  Read More

Optimization
Coordinated operation of Wind Farms, Cascaded Hydro, Photo-voltaic and Pump-storage Units by WT-ANN-ICA Prediction Method

Ehsan Jafari

Volume 4, Issue 1 , January 2021, , Pages 127-139

https://doi.org/10.22111/ieco.2020.31109.1198

Abstract
  a new algorithm is presented to reduce the uncertainty effects of wind farms power generation (WFPG) and photo-voltaic generation (PVG) in both day-ahead energy and ancillary services markets. Firstly, this research tries to predict the uncertainty of short-term WFPG with acceptable accuracy. Indeed, ...  Read More

Optimization
Application of Improved Salp Swarm Algorithm Based on MPPT for PV Systems under Partial Shading Conditions

Javad Farzaneh; Ali Karsaz

Volume 3, Issue 4 , September 2020, , Pages 407-414

https://doi.org/10.22111/ieco.2020.31320.1200

Abstract
  Maximum Power Point Tracking (MPPT) is an important concept for both uniform solar irradiance and Partial Shading Conditions (PSCs). The paper presents an Improved Salp Swarm Algorithm (ISSA) for MPPT under PSCs. The proposed method benefits a fast convergence speed in tracking the Maximum Power Point ...  Read More

Optimization
Solving Economic Load Dispatch by a New Hybrid Optimization Method

Hossein Sharifzadeh

Volume 3, Issue 4 , September 2020, , Pages 469-474

https://doi.org/10.22111/ieco.2020.32914.1239

Abstract
  This paper presents a new solution method to efficiently handle non-convexity stemmed from valve points in the economic load dispatch problem. The proposed solution technique integrates both the advantage of fast solution algorithms of linear programming and powerful solution techniques of nonlinear ...  Read More

Optimization
Application of Artificial intelligence techniques for optimum design of hybrid grid-independent PV/WT/battery power system

Seyed Mahdi Hadad Baygi; Javad Farzaneh

Volume 3, Issue 3 , July 2020, , Pages 275-289

https://doi.org/10.22111/ieco.2020.28603.1136

Abstract
  The idea of this paper is behind the development of sizing optimization model based on a new optimization algorithm to optimize the size of different stand-alone hybrid photovoltaic (PV)/wind turbine (WT)/battery system components to electrify a remote location including ten residential buildings located ...  Read More

Optimization
Optimum Design of High-Temperature Superconducting Induction/Synchronous Motor to Increase Torque Density Using Collective Decision Optimization Algorithm

Milad Niaz Azari; Vasiye Lohrasbi; Seyed Abdolah Mousavi

Volume 3, Issue 2 , May 2020, , Pages 137-145

https://doi.org/10.22111/ieco.2019.29084.1148

Abstract
  Today, with the high promotion of technology and the expansion of industries, electric motors are used extensively and consume a large part of the electrical energy produced by power plants. Therefore, researchers and experts have always sought solutions to make electric motors with high reliability ...  Read More

Optimization
Introducing a New Hybrid Adaptive Local Optimal Low Rank Approximation Method for Denoising Images

sadegh kalantari; mehdi ramezani; ali madadi

Volume 3, Issue 2 , May 2020, , Pages 173-185

https://doi.org/10.22111/ieco.2019.31245.1199

Abstract
  This paper aimed to formulate image noise reduction as an optimization problem and denoise the target image using matrix low rank approximation. Considering the fact that the smaller pieces of an image are more similar (more dependent) in natural images; therefore, it is more logical to use low rank ...  Read More

Optimization
Adaptive Repetitive Control for Periodic Disturbance Rejection with Unknown Period

Hassan Farokhi Moghadam; Nastaran Vasegh; Seyed Mohsen Seyed Moosavi

Volume 3, Issue 2 , May 2020, , Pages 187-194

https://doi.org/10.22111/ieco.2019.31017.1197

Abstract
  In this paper, an adaptive repetitive controller (ARC) is proposed to reject periodic disturbance with an unknown period. First, a repetitive controller is designed when the disturbance period is known. In this case, the RC time delay is equal to the period of disturbance. Then, the closed-loop system ...  Read More

Optimization
Practical approach for planning of reliability-centered maintenance in distribution network with considering economic risk function and load uncertainly

amirreza yari; Mahmoud Reza Shakarami; farhad namdari; Hassan Moradi CheshmehBeigi

Volume 2, Issue 4 , October 2019, , Pages 319-330

https://doi.org/10.22111/ieco.2019.26404.1075

Abstract
  Nowadays, the power distribution companies are working in a competitive atmosphere. Therefore, a major goal for electricity distribution managers is to provide the electrical energy with high reliability level with considering the economic issues.The Reliability- centered maintenance (RCM) is an efficient ...  Read More