Influence of Using ACO Algorithm in STATCOM Performance by Maha Al-Flaiyeh

“…Two optimization methods were used Ant Colony Algorithm (ACO) and Genetic Algorithm (GA) to adjust the parameters of the outer PI controller. …”
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ALGORITHMS OF TREATMENT AND PREVENTION OF RESPIRATORY TRACT DISORDERS by L.S. Namazova, V.V. Botviniyeva, R.M. Torshkhoyeva, T.G. TagiAzade

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Content-based effective event matching algorithm by CHEN Ji-ming1, JU Shi-guang1, PAN Jin-gui2, ZOU Zhi-wen1, GONG Zhen-yu2

“…Based on the study of characteristics of the distributed virtual environment and current event matching algo-rithms,a content-based effective event matching（CEEM） algorithm was proposed.By considering the efficiency of both subscription processing and event matching,this algorithm can solve the symmetric event matching efficiently,so as to make the content-based publish/subscribe model fit the virtual environment better.Finally,experiments and performance analysis show that CEEM is both practical and effective.…”
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The Determination of Distances between Images by de Rham Currents Method by Sergey N. Chukanov

“…The goal of the paper is to develop an algorithm for matching the shapes of images of objects based on the geometric method of de Rham currents and preliminary affine transformation of the source image shape. …”
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Neuromorphic algorithms for brain implants: a review by Wiktoria Agata Pawlak, Newton Howard

“…We discuss current algorithms and emerging neurocomputational models that, when implemented on neuromorphic hardware, could match or surpass traditional methods in efficiency. …”
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RTRS algorithm in low-power Internet of things by Yuchen CHEN, Yuan CAO, Laipeng ZHANG, Lianghui DING, Feng YANG

“…Considering the feature of periodical uplink data transmission in IEEE 802.11ah low-power wide area network (LWPAN),a real-time RAW setting (RTRS) algorithm was proposed.Multiple node send data to an access point (AP),and the uplink channel resources were divided into Beacon periods in time.During a Beacon period,AP firstly predicted the next data uploading time and the total amount of devices that will upload data in the next Beacon period.The AP calculated the optimal RAW parameters for minimum energy cost and broadcasted the information to all node.Then all devices upload data according to the RAW scheduling.The simulation results show that the current network state can be predicted accurately according to the upload time of the terminal in the last period.According to the predicted state,raw configuration parameters can be dynamically adjusted and the energy efficiency can be significantly improved.…”
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A New MDL-based Clustering Algorithm by Zdravko Markov

“…The performance of the algorithm is evaluated on benchmark datasets. …”
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RTRS algorithm in low-power Internet of things by Yuchen CHEN, Yuan CAO, Laipeng ZHANG, Lianghui DING, Feng YANG

“…Considering the feature of periodical uplink data transmission in IEEE 802.11ah low-power wide area network (LWPAN),a real-time RAW setting (RTRS) algorithm was proposed.Multiple node send data to an access point (AP),and the uplink channel resources were divided into Beacon periods in time.During a Beacon period,AP firstly predicted the next data uploading time and the total amount of devices that will upload data in the next Beacon period.The AP calculated the optimal RAW parameters for minimum energy cost and broadcasted the information to all node.Then all devices upload data according to the RAW scheduling.The simulation results show that the current network state can be predicted accurately according to the upload time of the terminal in the last period.According to the predicted state,raw configuration parameters can be dynamically adjusted and the energy efficiency can be significantly improved.…”
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A Synthesized Heuristic Task Scheduling Algorithm by Yanyan Dai, Xiangli Zhang

“…In resource selection phase, the algorithm is selected task duplication to reduce the interresource communication cost, besides forecasting the impact of an assignment for all children of the current task permits better decisions to be made in selecting resources. …”
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Fuzzy Guiding of Roulette Selection in Evolutionary Algorithms by Krzysztof Pytel

“…This paper presents, discusses, and tests a novel method for guiding roulette selection in evolutionary algorithms. The new method uses fuzzy logic and incorporates information from both current and historical generations to predict the best scheme for the selection process. …”
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Algorithmic bias and the Value Sensitive Design approach by Judith Simon, Pak-Hang Wong, Gernot Rieder

“…This article provides a brief overview of the key features of the Value Sensitive Design approach, examines its contributions to understanding and addressing issues around bias in computer systems, outlines the current debates on algorithmic bias and fairness in machine learning, and discusses how such debates could profit from VSD-derived insights and recommendations. …”
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An improved searching algorithm for indoor trajectory reconstruction by Min Li, Jingjing Fu, Yanfang Zhang, Zhujun Zhang, Siye Wang, Huafeng Kong, Rui Mao

“…In this article, we propose a searching algorithm that aims at a reasonable trajectory reconstruction scheme. …”
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Research on data transmission based on DDPG algorithm by Yan Danting, Jiao Xinquan

“…Aiming at the poor reliability and low transmission rate of the current data transmission system, a data transmission system is designed using FPGA and UDP protocol. …”
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An Energy Conservation Algorithm for Nonlinear Dynamic Equation by Jian Pang, Yu Du, Ping Hu, Weidong Li, Z. D. Ma

“…An energy conservation algorithm for numerically solving nonlinear multidegree-of-freedom (MDOF) dynamic equations is proposed. …”
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CASCADE CONTROL ALGORITHM OF THE ROBOTIC ARM'S SERVOMOTOR by MORARU, Dumitru, FIODOROV, Ion, IZVOREANU, Bartolomeu, COJUHARI, Irina

“…A case study was carried out for a direct current electric motor, where proportional (P), proportional-integral (PI), and proportional-integral-derivative (PID) control algorithms were used, with P and PI applied to the inner loop, and P, PI, and PID to the outer loop. …”
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Improving Quantum Optimization Algorithms by Constraint Relaxation by Tomasz Pecyna, Rafał Różycki

“…Quantum optimization is a significant area of quantum computing research with anticipated near-term quantum advantages. Current quantum optimization algorithms, most of which are hybrid variational-Hamiltonian-based algorithms, struggle to present quantum devices due to noise and decoherence. …”
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Improved Firefly Algorithm Based on Heuristic Information by CUI Jia-rui, LI Qing, YANG Liu-yi, WANG Heng, ZHANG Bo-yu

“…Firefly Algorithm (FA) is an optimization algorithm based on swarm intelligence which mimics the social behavior of fireflies based on the flashing and attraction characteristics of fireflies With the aim to address the disadvantages of the firefly algorithm of slow convergence speed and ease of falling into the local optimum in the later period of the evolution process, the firefly algorithm is improved herein Two kinds of heuristic information are proposed into the algorithm to guide the convergence of the algorithm The first one takes the current global best as the heuristic information referencing the “global optimal” idea in particle swarm optimization, therefore, an algorithm called FAGO (Firefly Algorithm based on Global Optimization) is formed The second one is called FABE (Firefly Algorithm based on Bayesian Estimation) using the optimal moving direction calculated by Bayesian estimation as heuristic information The improved algorithms in this study are applied to numerical simulations of several classical test functions and compared with traditional FA and some other′s research are carried out The simulation results show that the proposed algorithms can well accelerate the convergence speed and improve the convergence accuracy…”
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Genetic algorithm for parameter optimization of supercapacitor model. by Filipe Menezes, Sérgio Cunha, William Assis, Allan Manito, Reinaldo Leite, Thiago Soares, Hugo Lott

“…For the optimal adjustment of the electrical circuit model parameters, a Genetic Algorithm (GA) is used. The response of the electrical circuit, adjusted by the Genetic Algorithm (GA), is then compared to the response obtained through computer simulation of a supercapacitor using PSIM software, which is a software well validated in such studies. …”
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Abdominal Wall Reconstruction–Diagnostic and Therapeutic Algorithm by Adrian PELINARU, Andreea GROSU-BULARDA, Carmen Ioana MOCANU, Razvan Nicolae TEODOREANU, Sabina GRAMA, Tiberiu Paul NEAGU, Serban ARGHIR POPESCU, Ioan LASCAR

“…After the analysis of current data from international literature, we identified a decision-making algorithm to offer guidance in surgical management in order to obtain an optimal functional outcome. …”
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Multifactor Algorithm for Test Case Selection and Ordering by Atulya Gupta, Rajendra Prasad Mahapatra

“…However, when examining the fault detection capacity along with other parameters, is required, the method falls short. The current research is motivated by this concept and proposes a multifactor algorithm incorporated with genetic operators and powerful features. …”
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