Simultaneous Design of PSS Parameters and SVC Control System by VURPSO Algorithm in Order to Increase Stability of the Power System by Esmaeel Ghaedi, Ghazanfar Shahgholian, Rahmat Allah Hooshmand

“…In this paper, the multi-machine power system is simulated and in addition, VURPSO optimization algorithm is used to optimize the parameters of simultaneous controllers of Static Var Compensator (SVC) and power system stabilizer (PSS) in order that the power system stability increases. …”
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Optimization Tools for the Design of Meta-Covers for Linear Antenna with Beam- and Null-Steering Capabilities by Michela Longhi, Stefano Vellucci, Mirko Barbuto, Alessio Monti, Filiberto Bilotti, Alessandro Toscano

“…In particular, we develop a genetic algorithm-based optimization tool, which achieves precise manipulation of the main beam direction and null placement in the radiation pattern. …”
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Generation and Classification of Novel Segmented Control Charts (SCC) Based on Hu’s Invariant Moments and the K-Means Algorithm by Roberto Baeza-Serrato

“…Once the matrix is segmented, the seven main features of the matrix are extracted using the translation-, scale-, and rotation-invariant Hu moments of the segmented matrices. …”
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Research on the Route Pricing Optimization Model of the Car-Free Carrier Platform Based on the BP Neural Network Algorithm by Yu-Ang Du

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Optimal Placement of DG to Improve the Reliability of Distribution Systems Considering Time Varying Loads using Genetic Algorithm by Zahra Boor, Seyyed Mehdi Hosseini

“…This paper presents determination of optimum size and location of distributed generators (DGs) for reliability improvement of distribution systems in the presence of time varying loads using Genetic Algorithm (GA). The main innovation of this paper is considering of annual load duration curve for determination of size and location of DGs for reliability improvement. …”
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A Side Lobe Level Reduction Method Using Simulated Annealing Algorithm in a Uniform Arc Array by Song-Il KANG, Kyong-Sim U, Kyong-Chol CHOE, Yong-Kwang RI, Hyok-Il KYE

“…This paper presents a method to effectively reduce the side lobe level while minimizing the main lobe width increase. This is done using the simulated annealing algorithm (SAA) for a uniformly spaced arc array of omnidirectional underwater acoustic transducers, even at low signal-to-noise ratio (SNR). …”
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Heterogeneous wireless sensor network routing protocol based on simulated annealing algorithm and modified grey wolf optimizer by Xiaoqiang ZHAO, Shaoya REN, Yongzhi ZHAI, Heng QUAN, Ting YANG

“…It’s one of the main goals of the heterogeneous wireless sensor network (HWSN) to extend the network lifecycle by reasonably utilizing the heterogeneity of node energy.Therefore, according to the heterogeneity of node energy, a routing protocol (SA-MGWO) for HWSN based on simulated annealing (SA) algorithm and modified grey wolf optimizer (GWO) was proposed.Firstly, the appropriate initial clusters were selected by dening different tness functions for heterogeneous energy nodes.Secondly, The tness values of nodes were calculated and treated as initial weights in the GWO.At the same time, the weights were updated dynamically according to the distance between the wolves and their prey and coefficient vectors to improve the GWO’s optimization ability.Finally, simulated annealing algorithm was used to ensure the selection of optimal cluster set in heterogeneous networks.Compared with stable election protocol (SEP), distribute energy efficient clustering (DEEC), modified stable election protocol (M-SEP), and fitness value based improved grey wolf optimizer (FIGWO) protocols, the experimental results indicate that the network lifecycle of the SA-MGWO protocol improves by 53.1%, 31.9%, 46.5% and 27.0% respectively.…”
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A Simple Algorithm for Finding a Non-negative Basic Solution of a System of Linear Algebraic Equations by Gleb D. Stepanov

“…This article describes an algorithm for obtaining a non-negative basic solution of a system of linear algebraic equations. …”
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BP Neural Network Improved by Sparrow Search Algorithm in Predicting Debonding Strain of FRP-Strengthened RC Beams by Guibing Li, Tianyu Hu, Dawei Bai

“…The results show that the coefficient of variation of the present SSA-BP neural network model is 13%. The main factors affecting debonding strain are the longitudinal reinforcement ratio, stirrup reinforcement ratio, and concrete strength, which are not considered in the code models. …”
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Developing a game-based test to assess middle school sixth-grade students’ algorithmic thinking skills by Yasemin Karal, Emre Zengin

“…The content validity of the test was ensured by means of obtaining expert opinion, whereas the construct validity was ensured by performing an independent sample t-test on the difference between the lower and upper groups. As a result, the algorithmic thinking skills assessment test was finalized with 22 main items and 2 sample items, totalling 24 items. …”
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Image key information processing using convolutional neural network and rotational invariant-hierarchical max pooling algorithm. by Guangmei Ma

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Stochastic modeling and availability optimization of biscuit manufacturing plants using Markovian approach and hybrid GA-PSO algorithm by Ashish Kumar, Naveen Kumar, Monika Saini

“…Abstract The main objective of the present study is to predict the optimal availability of biscuit manufacturing plants using genetic algorithm (GA), particle swarm optimization (PSO), and Hybrid GA-PSO algorithms. …”
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Metaheuristic Algorithm to Find Optimal Sizing of Stand-Alone Hybrid Energy System in Remote Areas: A review by ABBAS Q.MOHAMMED, Kassim A. Al-Anbarri, Ihsan Mousa Jawad

“…These problems can be solved by modern techniques, a metaheuristic algorithm that is more famous than traditional algorithms because it has good results and faster processing time. …”
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Variable Step-Size Hybrid Filtered-x Affine Projection Generalized Correntropy Algorithm for Active Noise Control by Zhaoqing Mu, Ying Gao, Xinyu Guo, Shifeng Ou

“…Consequently, ANC systems necessitate a high-performance algorithm as a core component. In this process, the variable step-size strategy is the main approach for enhancing the ANC algorithm’s performance but ensuring robustness while improving performance remains a challenge. …”
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Algorithm for the selection of drugs for targeted antimicrobial therapy based on the results of molecular biological studies of positive blood cultures by А. V. Dekhnich, A. Yu. Kuzmenkov, D. A. Popov, I. V. Shlyk, M. V. Edelshtein

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Dynamic Performance Improvement of a Single-Phase VSI with Digital Implementation of an On-Line Optimal Trajectory Control Algorithm by Shah Zaman, Yan Zhang, Jinjun Liu, Danni Yang, Zhenchao Li

“…The complete mathematical derivation as well as a design method is presented to guide the practical hardware implementation for the given main circuit parameters and identified load step change. …”
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Improved RRT* Path-Planning Algorithm Based on the Clothoid Curve for a Mobile Robot Under Kinematic Constraints by Kemeng Ran, Yujun Wang, Can Fang, Qisen Chai, Xingxiang Dong, Guohui Liu

“…Compared to other algorithms, the main contributions of our proposed algorithm are as follows: First, we introduce a bidirectional expansion strategy that quickly identifies a direct path to the goal point in a short time. …”
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Characterizing surface water changes across the Tibetan Plateau based on Landsat time series and LandTrendr algorithm by X. R. Chai, M. Li, G. W. Wang

“…We detected the annual changes in surface water using the LandTrendr algorithm on the Google Earth Engine (GEE), and examined impact factors on surface water area dynamics. …”
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Cumulative Rainfall Radar Recalibration with Rain Gauge Data Using the Colour Pattern Regression Algorithm QGIS Plugin by Pablo Blanco-Gómez, Pau Estrany-Planas, José Luis Jiménez-García

“…To this end, rainfall data are the main input to hydraulic models used for the design of drainage systems and, in advanced contexts, for their real-time monitoring. …”
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AVOA and ALO Algorithm for Energy-Efficient No-Idle Permutation Flow Shop Scheduling Problem: A Comparison Study by Yolanda Mega Risma, Dana Marsetiya Utama

“…The African Vultures Optimization Algorithm (AVOA) and the Ant Lion Optimizer (ALO) are two novel meta-heuristic algorithms designed to achieve this goal. …”
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