A FJSSP Method Based on Dynamic Multi-Objective Squirrel Search Algorithm by Yanjiao Wang, Jieru Han

“…Take the Squirrel Search Algorithm (SSA) as the core evolution strategy, and combine the multi-objective framework and the dynamic processing technology to solve the established mathematical model. …”
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Research on Improved Ray Casting Algorithm and Its Application in Three-Dimensional Reconstruction by ZheShu Jia, DeYun Chen, Bo Wang

“…Experimental results show that the proposed method not only can obtain higher quality rendered images but also has a certain improvement in rendering speed compared with traditional algorithms.…”
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Deep learning-based object detection algorithms in medical imaging: Systematic review by Carina Albuquerque, Roberto Henriques, Mauro Castelli

“…The continuous evolution of DL algorithms highlighted in the literature underscores the dynamic nature of this field, emphasizing the need for ongoing research and fitted optimization for specific applications.…”
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Multiobjective Prioritized Workflow Scheduling in Cloud Computing Using Cuckoo Search Algorithm by Babuli Sahu, Sangram Keshari Swain, Sudheer Mangalampalli, Satyasis Mishra

“…Therefore, in this research, a task-prioritized multiobjective workflow scheduling algorithm was developed by using cuckoo search algorithm to precisely map incoming workflows onto corresponding virtual resources. …”
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Spectral optimization of supercontinuum shaping using metaheuristic algorithms, a comparative study by Mathilde Hary, Teemu Koivisto, Sara Lukasik, John M. Dudley, Goëry Genty

“…Machine learning and metaheuristic algorithms offer more efficient optimization approaches. …”
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Modern transcriptome data processing algorithms: a review of methods and results of approbation by M. V. Sprindzuk, L. P. Titov, A. P. Konchits, L. V. Mozharovskaya

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Decentralized Scheduling Algorithm for DAG Based Tasks on P2P Grid by Piyush Chauhan, Nitin

“…Subtasks of this DAG are scheduled by the scheduler on various grid resources. Scheduling algorithms for grid strive to optimize the schedule. …”
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Algorithm for foggy image enhancement based on the total variational Retinex and gradient domain by Bing-quan CHEN, Hong-li LIU

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A Hybrid Heuristic Algorithm for Ship Block Construction Space Scheduling Problem by Shicheng Hu, Tengjiao Liu, Song Wang, Yonggui Kao, Xuedong Sun

“…Finally, the simulation experiments are conducted to verify the effectiveness of the algorithm.…”
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Accurate pulse time distribution determination using MLEM algorithm in integral experiments by S.Y. Zhang, Y.B. Nie, Y.Y. Ding, Q. Zhao, K.Z. Xu, X.Y. Pan, H.T. Chen, Q. Sun, Z. Wei

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Antenna Array Design in MIMO Radar Using NSK Polynomial Factorization Algorithm by Shuainan Gu, Ke Li, Xiukun Ren, Na-e Zheng

“…The algorithm contains three steps. First, linear factors are extracted by extended Vieta theorem. …”
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REKONFIGURASI 26 KANAL IRIGASI MENGGUNAKAN METODE BINARY FIREFLY ALGORITHMS (BFA) by M Yunus, Markhaban Siswanto, Slamet Imam Wahyudi, Soedarsono Soedarsono, Nazariano Rahman Wahyudi, Machrus Ali

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Video tampering detection algorithm based on spatial constraint and gradient structure information by Han PU, Tianqiang HUANG, Bin WENG, Hui XIAO, Wei HUANG

“…The traditional video passive forensics method using only the principle of similarity between adjacent frames will cause a lot of false detection for the video with severe motion.Aiming at this problem,a video tamper detection method combining spatial constraints and gradient structure information was proposed.Firstly,the low motion region and the high texture region were extracted by using spatial constraint criteria.The two regions were merged to obtain the robust quantitative correlation rich regions for extracting video optimal similarity features.Then improving the extraction and description methods of the original features,and using the similarity of the gradient structure in accordance with the characteristics of the human visual system to calculate the spatial constraint correlation value.Finally,the tampering points were located by the Chebyshev inequality.Experiments show that the proposed algorithm has lower false detection rate and higher accuracy.…”
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A modified algorithm of 'forward-backward' solving the identification of automata Markov models by A.R. Nurutdinova

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Collision resolution algorithm based on time-series forecasting for cognitive wireless networks by Shuang-mao YANG, Wei GUO, Wei TANG

“…A novel prediction-based collision resolution algorithm for self-similar traffic in cognitive wireless networks was formulated.The packet collision was resolved by combining the tree splitting scheme and the prediction theory.Through theoretical analysis and simulation experiments,the proposed prediction-based collision resolution algorithm performs better than the binary-tree splitting algorithm in terms of network throughput and collision resolution period.…”
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A Game-Based Secure Localization Algorithm for Mobile Wireless Sensor Networks by Tianyue Bao, Jiangwen Wan, Kefu Yi, Qiang Zhang

“…The performance of our algorithm is evaluated by extensive simulation experiments. …”
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Nonlinear error modified equalization algorithm in high-order modulation of satellite communication by Cheng-kai TANG, Ling-ling ZHANG, Bao-wang LIAN

“…Aiming at the larger computation and the slower speed of nonlinear error compensation of traditional equalization algorithms,the fast nonlinear error equalization algorithm with amplitude and phase separation was constructed.It combined the feedback equalization to reduce the computational complexity respectively.In order to eliminate nonlinear interference and memory interference,the algorithm utilized the Volterra model to modify the error and it was adapted to update the feedback equalization parameters.The theoretical analysis and simulation compared proposed algorithm and existing conventional equalization algorithms from the bit error rate,convergence speed and computational complexity.The results show that the computational complexity is only equivalent to 14.1%～24.9% of other algorithms and proposed method can cancel the nonlinear interference quickly.…”
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A Multiobjective Particle Swarm Optimization Algorithm Based on Grid Technique and Multistrategy by Kangge Zou, Yanmin Liu, Shihua Wang, Nana Li, Yaowei Wu

“…When faced with complex optimization problems with multiple objectives and multiple variables, many multiobjective particle swarm algorithms are prone to premature convergence. To enhance the convergence and diversity of the multiobjective particle swarm algorithm, a multiobjective particle swarm optimization algorithm based on the grid technique and multistrategy (GTMSMOPSO) is proposed. …”
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Outlier detection algorithm based on fast density peak clustering outlier factor by Zhongping ZHANG, Sen LI, Weixiong LIU, Shuxia LIU

“…For the problem that peak density clustering algorithm requires human set parameters and high time complexity, an outlier detection algorithm based on fast density peak clustering outlier factor was proposed.Firstly, k nearest neighbors algorithm was used to replace the density peak of density estimate, which adopted the KD-Tree index data structure calculation of k close neighbors of data objects, and then the way of the product of density and distance was adopted to automatic selection of clustering centers.In addition, the centripetal relative distance and fast density peak clustering outliers were defined to describe the degree of outliers of data objects.Experiments on artificial data sets and real data sets were carried out to verify the algorithm, and compared with some classical and novel algorithms.The validity and time efficiency of the proposed algorithm are verified.…”
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Global randomized consensus algorithm resist collusion attack based on game theory by Bao ZHANG, Youliang TIAN, Sheng GAO

Subjects: “…consensus algorithm…”
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