Exploring the Orca Predation Algorithm for Economic Dispatch Optimization in Power Systems by Vivi Aida Fitria, Arif Nur Afandi, Aripriharta

“…This research shows that Orca Predation Algorithm consistently does better than other bio-inspired algorithms like Particle Swarm Optimization, Whale Optimization Algorithm, Grey Wolf Optimizer, the Bat Algorithm, Genetic Algorithm and Ant Colony Optimization in terms of minimum cost, average cost, and solution stability. …”
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Multiobjective Optimization of Tool Geometric Parameters Using Genetic Algorithm by Maohua Du, Zheng Cheng, Yanfei Zhang, Shensong Wang

“…Up to now, there are only a few researches on tool geometric parameters and optimization, and the single objective function of parameter optimization used by researchers during high-speed machining (HSM) mainly is the minimum cutting force. …”
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Algorithms for Routing Optimization in Multipoint to Multipoint 4PL System by Jia Li, Yanqiu Liu, Ying Zhang, Shida Xu

“…Fourth party logistics (4PL) has been receiving great attention and studied by researchers. This paper studies multipoint to multipoint 4PL system routing optimization with reliability constraints. …”
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Differential Evolution Algorithm for Identification of Structural Damage in Steel Beams by Brunno Emidio Sobrinho, Gilberto Gomes, Welington Vital da Silva, Ramon Silva, Erwin U. L. Palechor, Luciano M. Bezerra

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Decision feedback demodulation algorithm for recursive SOQPSK-TG signal by UNJin-hua S, ANHui-mei H

“…To solve the problem of one-to-one correspondence relationship not existing between state variable and cumu-lative phase in two-state trellis of shaped-offset quadrature phase-shift keying(SOQPSK-TG), a decision feedback de-modulation algorithm for recursive SOQPSK-TG is researched. According to a two-state trellis , cumulative phase corre-sponding to the state variable is obtained by decision feedback in state transition. …”
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Multi-objective task offloading algorithm for mobile cloud computing by Fuhong SONG, Huanlai XING, Wei PAN

“…Mobile devices with limited computing power and resources can offload intensive tasks to the cloud for execution,thus improving the computing capacity of mobile devices and reducing battery energy consumption.However,the existing researches cannot properly balance the application finish time and energy consumption of the mobile terminal when offloading tasks.An MOEA/D based algorithm was proposed to optimize the application finish time and energy consumption,and dynamic voltage frequency scaling technology was introduced into the MOEA/D to adjust the CPU clock frequency of mobile devices to further decrease the energy consumption without increasing the application finish time.The simulation results demonstrate that the proposed algorithm outperforms a number of existing algorithm in terms of the multi-objective performance.…”
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Uncertain data analysis algorithm based on fast Gaussian transform by Rong-hua CHI, Yuan CHENG, Su-xia ZHU, Shao-bin HUANG, De-yun CHEN

“…The effect of the uncertainties needs to be taken full advantage during uncertain data clustering.An uncertain data clustering algorithm based on fast Gaussian transform was proposed,to solve the problems about the impact on the accuracy of clustering results and the clustering efficiency caused by the uncertainties,during the construction of uncertain data models and the distance measurement,which existed in the current researches.First,the data model according to the characteristic of the uncertainty distribution was constructed,without the premise of assuming the data distribution.And the similarity between uncertain data objects was measured by combining the two important features of uncertain objects,attribute features and the probability density function representing the characteristic of uncertainty distribution.And then the uncertain data clustering algorithm was proposed.Finally,the experiment results on UCI and real datasets indicate the better efficiency and accuracy of proposed algorithm.…”
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Uncertain data analysis algorithm based on fast Gaussian transform by Rong-hua CHI, Yuan CHENG, Su-xia ZHU, Shao-bin HUANG, De-yun CHEN

“…The effect of the uncertainties needs to be taken full advantage during uncertain data clustering.An uncertain data clustering algorithm based on fast Gaussian transform was proposed,to solve the problems about the impact on the accuracy of clustering results and the clustering efficiency caused by the uncertainties,during the construction of uncertain data models and the distance measurement,which existed in the current researches.First,the data model according to the characteristic of the uncertainty distribution was constructed,without the premise of assuming the data distribution.And the similarity between uncertain data objects was measured by combining the two important features of uncertain objects,attribute features and the probability density function representing the characteristic of uncertainty distribution.And then the uncertain data clustering algorithm was proposed.Finally,the experiment results on UCI and real datasets indicate the better efficiency and accuracy of proposed algorithm.…”
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Designing Recolorization Algorithms to Help People with Color Vision Anomalies by V. V. Sinitsyna, A. M. Prudnik

“…The problem of perception of visual information by people with color vision anomalies remains quite relevant, as evidenced by the interest in studying this problem not only in medicine, but also in the field of medical technology. Researchers around are working on the task to create algorithms and software that can transform images and videos in accordance with their correct perception by people with color blindness. …”
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An Aeromagnetic Compensation Algorithm Based on a Temporal Convolutional Network by Han Wang, Boxin Zuo

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Path selection algorithm with minimal delay in wireless sensor networks by Tianbo Lu, Yifei Su, Youwen Wang, Xiaoyan Zhang, Hao Meng

“…With the rapid popularization and development of Internet, global researchers are increasingly paying more and more attention to anonymity and privacy security. …”
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Topology of Complex Networks and Performance Limitations of Community Detection Algorithms by Muhammad Qasim Pasta, Faraz Zaidi

“…More often than not, researchers focus on developing fast and accurate algorithms that can be generically applied to networks from various domains. …”
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Comparative Studies of Reconstruction Algorithms for Sparse-View Photoacoustic Tomography by Xueyan Liu, Shuo Dai, Xin Wang, Mengyu Wang

“…Despite the extensive work done by researchers on this problem, there is currently no universally accepted solution. …”
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Solving the Traveling Salesman Problem: A Modified Metaheuristic Algorithm by Majid Yousefikhoshbakht

“…One of the major weaknesses of the PSO algorithm in the classical version is that it gets stuck in local optimizations. …”
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Medical Images Segmentation Based on Unsupervised Algorithms: A Review by Revella E. A. Armya, Adnan Mohsin Abdulazeez

“… Medical image segmentation plays an essential role in computer-aided diagnostic systems in various applications. Therefore, researchers are attracted to apply new algorithms for medical image processing because it is a massive investment in developing medical imaging methods such as dermatoscopy, X-rays, microscopy, ultrasound, computed tomography (CT), positron emission tomography, and magnetic resonance imaging. …”
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Second order algorithm with convergence analysis for viscoelastic flow model by Chinedu Nwaigwe, Sanda Micula

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Pavement crack identification method based on IOtsu-Dd algorithm. by Yang Yang, Lin Wang, Qinghua Xiong

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Parameter Extraction for Photovoltaic Models with Flood-Algorithm-Based Optimization by Yacine Bouali, Basem Alamri

“…Accurately modeling photovoltaic (PV) cells is crucial for optimizing PV systems. Researchers have proposed numerous mathematical models of PV cells to facilitate the design and simulation of PV systems. …”
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Differential analysis of lightweight cipher algorithm ACE based on MILP by Shuai LIU, Jie GUAN, Bin HU, Sudong MA

“…The differential property of the lightweight cipher algorithm ACE was researched.n-dimension ring AND-gate combination was defined and its differential property was described accurately by only O(n) expressions with the MILP method by analyzing the relationship among AND gates.The nonlinear operation of ACE was transformed to the 32-dimension ring AND-gate combination and the MILP differential model of ACE was proposed.According to the characteristics of Gurobi solver, a model for fast solving the MILP differential model of ACE was given.For ACE permutation with 3 to 6 steps, the optimal differential characteristic was obtained and its probability was improved by multi-difference technique.The differential forge attack on authenticated encryption algorithm ACE-<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML"> <mi mathvariant="script">A</mi><mi mathvariant="script">E</mi></math></inline-formula>-128 and the differential collision attack on hash algorithm ACE-<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML"> <mi mathvariant="script">H</mi></math></inline-formula>-256 was given with 3-step ACE permutation, and the success probability was 2^-90.52.And it was proved that the 4-steps ACE permutation arrived the differential security bound of 128 bit.Actually, the MILP differential description of ring AND-gate combination can be applied on more cipher algorithms, such as SIMON, Simeck.…”
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Comparative analysis of dehazing algorithms on real-world hazy images by Chaobing Zheng, Wenjian Ying, Qingping Hu

“…Neural augmentation algorithms, however, effectively combine the strengths of both approaches, offering a better overall solution. …”
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