Optimal power allocation in spatial MIMO channel using heuristic algorithms by Javad Zeraatkar Moghaddam, Hamid Farrokhi

“…Both simulation and numerical results confirm that, compared to other mathematical methods, the proposed algorithms are more efficient in terms of complexity and power assignment to antennas in a MIMO system.…”
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Мany-sided rhinitis: current approach to diagnosis and treatment algorithm by N. G. Astafieva, D. Yu. Kobzev, I. V. Gamova, I. A. Perfilova, E. N. Udovichenko, L. V. Skuchaeva, I. E. Michailova

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Discovering the backbone network with a novel designed ant colony algorithm by Fang LYU, Jun BAI, Junheng HUANG, Bailing WANG

“…Forthe problem that in interactive network,the illegal and abnormal behaviors were becoming more hidden,moreover,the complex relation in real interactive network heightens the difficulty of detecting anomalous entities,an ant colony model was proposed for extracting the backbone network from the complex interactive network.The novel model simulated the relationships among entities based on the theory of path optimization,reduced the network size after quantifying the significance of each flow of information.Firstly,a strategy of initial location selection was proposed taking advantage of network centrality.Secondly,a novel path transfer mechanism was devised for the ant colony to fit the flow behavior of entities.Finally,an adaptive and dynamic pheromone update mechanism was designed for guiding the optimization of information flows.The experimental results show that the proposed model is superior to the traditional ant colony algorithm in both solving quality and solving performance,and has better coverage and accuracy than the greedy algorithm.…”
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Constant modulus algorithm for blind equalization under impulsive noise environments by GUO Ying1, QIU Tian-shuang1, TANG Hong1, PARK Yong-wan2

“…The presence of α stable distributed ambient channel noise in wireless systems can degrade the per-formance of existing constamt modulus（CM） equalizers.The problem of blind equalization in noisy communication channels was investigated by addressing the negative effects of heavy-tailed noise to the original constant modulus algorithm based on a stochastic gradient descent（SGD-CMA）.Two modified algorithms were proposed.The first is robust CM algorithm based on SGD（SGD-RCMA） and the second is robust CM based on recursive least square（RLS-RCMA） novel methods are robust under both Gaussian and α stable distributed ambient noise environments.And compared to SGD-RCMA method,the RLS-RCMA method has a significantly faster convergence rate and more powerful ISI impressing ability.…”
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Multi-objective cloud workflow scheduling algorithm based on grid variance by Xiaoan BAO, Yundi CAO, Na ZHANG, Junyan QIAN, Jianwen CAO

“…Multi-objective cloud workflow scheduling algorithm based on grid variance and the strategy of bad particles self-learning were presented.Firstly,the characteristics of task scheduling was token into consideration,and particle encoding was discredited.Secondly,the strategy of mapping Pareto optimal workflow scheduling set to self-adaptive grid coordinate system,and calculating the grid distribution value of each Pareto optimal solution was used.Thirdly,grid variance was adopted to evaluate the diversity of current Pareto front and dynamically adjust evolution strategies.Finally,the concept of being dominated times was introduced into bad particles self-learning strategy for filtering out bad particles in population.The simulation experiment shows that workflow scheduling solution set by this algorithm is better than the MOPSO algorithm on both IGD and S performance indexes,and the optimal value is superior to the ε-FDPSO and NSGA-Ⅱ algorithm.…”
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Development of neutron diffusion and transport algorithms based on finite volume method by LI Wei, LIU Xiaojing, CHAI Xiang, ZHAO Pengcheng

“…The C5G7 benchmark validates the FVM-based transport algorithm's strong geometric adaptability and ability to solve both uniform and non-uniform neutron physics problems accurately.ConclusionsFVM-based neutron diffusion and transport algorithms developed in this study lay the foundation for the future simultaneous solution of conservation equations for physical and thermal multi-physics fields under a unified programming framework. …”
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Agent-based dynamic spectrum trading algorithm in cognitive radio network by Shi-bing ZHANG, Guo-dong ZHANG, Zhi-hua BAO

“…In order to improve the benefits generated by spectrum sharing, the spectrum management was studied and the agent-based dynamic spectrum trading algorithm was proposed. In the algorithm, the agent was used as a medium for spectrum trading, which reduced the huge system overhead among multi-primary service providers (PSP) and mul-ti-secondary users (SU). …”
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Leveraging Evolutionary Algorithms for Feasible Hexapod Locomotion Across Uneven Terrain by Jack Vice, Gita Sukthankar, Pamela K. Douglas

“…Inspired by biology, evolutionary algorithms (EA) remain an attractive solution for feasibly implementing robotic locomotion with both energetic economy and rapid parameter convergence. …”
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Psycho-Pass: The Portrait of a Control Society Under an Algorithmic System by Eirens Josua Mata Hine

“…The author uses this anime as a space to reflect critically on discourses and social realities that currently are or will be formed, in an era where everything is connected to algorithmic systems. The author’s findings reveal that the posthuman reality is something that inevitably occurs in people’s bodies, making them increasingly vulnerable to becoming objects of control and surveillance by both companies and the government. …”
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Agent-based dynamic spectrum trading algorithm in cognitive radio network by Shi-bing ZHANG, Guo-dong ZHANG, Zhi-hua BAO

“…In order to improve the benefits generated by spectrum sharing, the spectrum management was studied and the agent-based dynamic spectrum trading algorithm was proposed. In the algorithm, the agent was used as a medium for spectrum trading, which reduced the huge system overhead among multi-primary service providers (PSP) and mul-ti-secondary users (SU). …”
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An algorithm for joint optimization of dynamic routing and scheduling in time-sensitive networking by Yang ZHOU, Honglong CHEN, Lei ZHANG

“…Time-sensitive networking (TSN) is a set of protocols developed by the IEEE TSN task group, aiming at achieving deterministic communications over Ethernet.As the implementation method of TSN traffic scheduling is not specified in the protocols, the routing and scheduling algorithm for TSN remains an open issue.The joint optimization problem of routing and scheduling in TSN for industrial applications was modeled, and then an online heuristic algorithm was proposed to deliver the routing and scheduling solution for dynamic traffics.The routing path was determined by optimizing both the transmission delay and network load factors, and the scheduling time was quickly conducted by twice clipping operations.Finally, a simulated TSN testbed was developed with NeSTiNg framework based on OMNeT.The simulation results show that the execution time of the proposed algorithm outperforms the baseline algorithms even with large scale of network size and network traffics.It shows that the proposed algorithm guarantees the real-time performance even in dynamically changing networks.…”
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Reduction algorithm based on supervised discriminant projection for network security data by Fangfang GUO, Hongwu LYU, Weilin REN, Ruini WANG

“…In response to the problem that for dimensionality reduction, traditional manifold learning algorithm did not consider the raw data category information, and the degree of clustering was generally at a low level, a manifold learning dimensionality reduction algorithm with supervised discriminant projection (SDP) was proposed to improve the dimensionality reduction effects of network security data.On the basis of the nearest neighbor matrix, the label information of the raw data category was exploited to construct a supervised discriminant matrix in order to translate unsupervised popular learning into supervised learning.The target was to find a low dimensional projective space with both maximum global divergence matrix and minimum local divergence matrix, ensuring that the same kind of data was concentrated and heterogeneous data was scattered after dimensionality reduction projection.The experimental results show that the SDP algorithm, compared with the traditional dimensionality reduction algorithms, can effectively remove redundant data with low time complexity.Meanwhile the data after dimensionality reduction is more concentrated, and the heterogeneous samples are more dispersed, suitable for the actual network security data analysis model.…”
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CRIMINALISTIC TASKS: CONTENT, STRUCTURAL ANALYSIS AND ALGORITHMIZATION OF THE TASK SOLVING PROCESS by Oleg A. Krestovnikov

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The simplest signal detection algorithms of transition process of tension in power lines by S. I. Novikov, I. L. Kuz'min, R. G. Khuzyashev

“…In paper the algorithm of registration of a signal of transition process which is given rise both by single-phase short circuit on the earth and is described by normal switching processes. …”
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Improved Backpropagation Using Genetic Algorithm for Prediction of Anomalies and Data Unavailability by Gunadi Widi Nurcahyo, Akbari Wafridh, Yuhandri

“…To enhance BPNN's effectiveness, this study integrates Genetic Algorithm (GA) optimization, forming the BPGA method. …”
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Stability Conditions for the Leaky LMS Algorithm Based on Control Theory Analysis by Dariusz BISMOR, Marek PAWELCZYK

“…The Least Mean Squares (LMS) algorithm and its variants are currently the most frequently used adaptation algorithms; therefore, it is desirable to understand them thoroughly from both theoretical and practical points of view. …”
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Exploring Evolutionary Algorithms for Multi-Objective Optimization in Seismic Structural Design by Seda Göktepe Körpeoğlu, Süleyman Mesut Yılmaz

“…While genetic algorithms are used to improve both the cost and seismic performance of the structure, particle swarm optimization is used to optimize the vibration and displacement performance of structures. …”
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Hammerstein Nonlinear Active Noise Control with the Filtered-Error LMS Algorithm by Krzysztof MAZUR, Marek PAWEŁCZYK

“…The ANC system uses nonlinear control filters to suppress negative effects of nonlinearies in the system. Filtered-error LMS algorithm, found more suitable than usually used Filtered-reference LMS algorithm, is employed for updating parameters of the nonlinear filters. …”
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Algorithms, allyship, and advice: A qualitative analysis of fertility tracker marketing by Kate Sheridan Clay, Sue Ziebland, John Powell

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Prioritized Experience Replay–Based Path Planning Algorithm for Multiple UAVs by Chongde Ren, Jinchao Chen, Chenglie Du

“…Unmanned aerial vehicles (UAVs) have been extensively researched and deployed in both military and civilian applications due to their tiny size, low cost, and great ease. …”
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