Energy optimization of ant colony algorithm in wireless sensor network by Peng Li, Huqing Nie, Lingfeng Qiu, Ruchuan Wang

“…An energy consumption optimization algorithm based on ant colony algorithm is proposed for wireless sensor network. …”
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Blunt trauma of the scrotum and testicle: algorithm of choice of treatment tactics by S. K. Yarovoy, R. A. Khromov

“…The study is a comparison of the results of prospective (according to the algorithm) and retrospective fragments, including a total of 459 patients (414 retrospectively, 45 prospectively). …”
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Quantitative estimating size of deep defects in multi-layered structures from eddy current NDT signals using improved ant colony algorithm by Bo Ye, Ming Li, Gefei Qiu, Jun Dong, Fang Zeng

Subjects: “…Ant colony algorithm…”
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Solving of the Workspace Boundary of Planar Parallel Mechanism based Modified PSO Algorithm by Ji Fangfang Zhao Xin

Subjects: “…Particle swarm algorithm…”
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A Hybrid Maximum Power Point Tracking Approach for Photovoltaic Systems under Partial Shading Conditions Using a Modified Genetic Algorithm and the Firefly Algorithm by Yu-Pei Huang, Xiang Chen, Cheng-En Ye

“…The proposed algorithm integrates a genetic algorithm (GA) and the firefly algorithm (FA) and further improves its calculation process via a differential evolution (DE) algorithm. …”
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Load Balancing Routing Algorithm Based on Genetic Optimization and Artificial Bee Colony in LEO Satellite Network by Xia DENG, Miaomiao HAO, Wucheng LIN

Subjects: “…artificial bee colony algorithm…”
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Design of a sustainable supply chain network of biomass renewable energy in the case of disruption by Leila Aslani, Atefeh Hasan-Zadeh, Yousef Kazemzadeh, Amir-Hosein Sheikh-Azadi

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Research on autonomous navigation of mobile robots based on IA-DWA algorithm by Quanling He, Zongyan Wang, Kun Li, Yuting Zhang, Menglong Li

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Algorithm study of digital HPA predistortion using one novel memory type BP neural network by Chun-hui HUANG, Yong-jie WEN

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Improvement on moving object tracking method for network video surveillance by Guang-xing HAN, Chong-rong LI

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RESEARCH ON TECHNIQUES TO ENHANCE DDoS ATTACK PREVENTION USING CUMULATIVE SUM AND BACKPROPAGATION ALGORITHMS by Hoang Thi Phuong

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Multi-constraints QoS routing optimization based on improved immune clonal shuffled frog leaping algorithm by Yi LU, Mengying XU, Jie ZHOU

Subjects: “…shuffled frog leaping algorithm…”
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Adaptive algorithm to compensate varying group_delay by YANG Zhi-xing, DENG Yong-jun, PAN Chang-yong, SONG Jian

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OPTIMIZATION DESIGN OF TOWER DOOR STRUCTURE BASED ON ISIGHT by YAN HongWen, TIAN HongQi, LV XingMei, LIANG YuGuo, OUYANG Hua

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Exploration and comparison of the effectiveness of swarm intelligence algorithm in early identification of cardiovascular disease by Tiantian Bai, Mengru Xu, Taotao Zhang, Xianjie Jia, Fuzhi Wang, Xiuling Jiang, Xing Wei

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Application of GA-ACO Optimized BP Neural Network in Fault Diagnosis of Planetary Gearbox by Chang Gao, Zhongqing Yu, Qiang Zhou

Subjects: “…GA-ACO-BP algorithm…”
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End-Milling of GFRP Composites with A Hybrid Method for Multi-Performance Optimization by Mohammad Khoirul Effendi, Bobby O. P. Soepangkat, Dinny Harnany, Rachmadi Norcahyo

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Data recommendation algorithm of network security event based on knowledge graph by Xianwei ZHU, Wei LIU, Zihao LIU, Zeyu GU

“…To address the difficulty faced by network security operation and maintenance personnel in timely and accurate identification of required data during network security event analysis, a recommendation algorithm based on a knowledge graph for network security events was proposed.The algorithm utilized the network threat framework ATT＆amp;CK to construct an ontology model and establish a network threat knowledge graph based on this model.It extracted relevant security data such as attack techniques, vulnerabilities, and defense measures into interconnected security knowledge within the knowledge graph.Entity data was extracted based on the knowledge graph, and entity vectors were obtained using the TransH algorithm.These entity vectors were then used to calculate data similarity between entities in network threat data.Disposal behaviors were extracted from literature on network security event handling and treated as network security data entities.A disposal behavior matrix was constructed, and the behavior matrix enabled the vector representation of network threat data.The similarity of network threat data entities was calculated based on disposal behaviors.Finally, the similarity between network threat data and threat data under network security event handling behavior was fused to generate a data recommendation list for network security events, which established correlations between network threat domains based on user behavior.Experimental results demonstrate that the algorithm performs optimally when the fusion weight α=7 and the recommended data volume K=5, achieving a recall rate of 62.37% and an accuracy rate of 68.23%.By incorporating disposition behavior similarity in addition to data similarity, the algorithm better represents factual disposition behavior.Compared to other algorithms, this algorithm exhibits significant advantages in recall rate and accuracy, particularly when the recommended data volume is less than 10.…”
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A Mathematical Modeling and an Optimization Algorithm for Marine Ship Route Planning by Lili Huang

“…Based on the mathematical model, the ant colony algorithm is used to optimize the initial route of the ship. …”
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Spectrum allocation algorithm of elastic optical networks in power distribution system by Biyou ZHAO, Shanhui ZHANG, Jinshuai WANG

“…In order to effectively improve the resource utilization of information transmission network in reality,the spectrum allocation problem in flexible optical network in smart grid environment was analyzed,and a spectrum allocation method was proposed.Combining the advantages of genetic algorithm and ant colony algorithm,the genetic algorithm was used to generate the initial solution.Finally,the optimal solution of the spectrum allocation problem was obtained by the characteristics of positive feedback of ant colony algorithm and efficient convergence.The performance of the optimization algorithm mentioned was verified by software simulation.The proposed algorithm can optimize the use of idle spectrum resources to meet the needs of mass data transmission in distribution network,and improve the reliability of distribution network communication system,which is of great significance to the safe and reliable operation of smart grid.…”
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