Matching Transportation Ontologies with Word2Vec and Alignment Extraction Algorithm by Xingsi Xue, Haolin Wang, Jie Zhang, Yikun Huang, Mengting Li, Hai Zhu

“…Then, a stable marriage-based alignment extraction algorithm is presented to determine high-quality alignment. …”
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Restricted Boltzmann Machine-Assisted Estimation of Distribution Algorithm for Complex Problems by Lin Bao, Xiaoyan Sun, Yang Chen, Guangyi Man, Hui Shao

“…A comparison of the proposed algorithm with several state-of-the-art surrogate-assisted evolutionary algorithms demonstrates that the proposed algorithm effectively and efficiently solves complex optimization problems with smaller computational cost.…”
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A hybrid swarm intelligent optimization algorithm for antenna design problems by Supreet Singh, Harbinder Singh, Nitin Mittal, Gurpreet Kaur Punj, Lalit Kumar, Kinde Anlay Fante

“…Experimental results demonstrate that SSNMRA outperforms existing state-of-the-art algorithms, offering superior optimization capability and enhanced convergence accuracy, making it a promising solution for complex antenna design and other electromagnetic applications.…”
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MOFSRank: A Multiobjective Evolutionary Algorithm for Feature Selection in Learning to Rank by Fan Cheng, Wei Guo, Xingyi Zhang

“…Experimental results on benchmark data sets confirm the advantage of the proposed method in comparison with the state-of-the-arts.…”
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Self-adaptive differential evolution algorithm based on population state information by Weijie MAI, Weili LIU, Jinghui ZHONG

“…The local optimum and stagnation state information of the population seriously affects the performance of differential evolution (DE) algorithm.An advanced DE algorithm with population state processing measures was proposed to address the above two issues.When the population falled into the local optimum, the individuals in the population were learned randomly by LBFGS method to improve the global quality of the solution, and Gaussian mutation was employed to trigger new individuals to jump out of local optimum.As for the stagnation state, the covariance matrix of the population was applied to reorganize the target individuals based on the rotation of the spatial coordinates to suppress the stagnation state of the population and enhance the global search ability of the algorithm.In addition, a new selection strategy was designed, which built an external archive to store abandoned individuals after greedy selection.When the trial individual was inferior to the target individual, the algorithm no longer generated the next generation with greedy selection strategy, but made reasonable intelligent selection around the external archive to ensure that the algorithm converges to the global optimum.Compared with eight state-of-the-art DE algorithms on 29 benchmark functions, the experimental results show that the proposed algorithm has better performance in terms of the solution accuracy and convergence speed.…”
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Hybrid Genetic Grey Wolf Algorithm for Large-Scale Global Optimization by Qinghua Gu, Xuexian Li, Song Jiang

“…On CEC’2008 LSGO problems, the performance of HGGWA is compared against several state-of-the-art algorithms, CCPSO2, DEwSAcc, MLCC, and EPUS-PSO. …”
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Design of Energy-Efficient Protocol Stack for Nanocommunication Using Greedy Algorithms by Iqra Iqbal, Mohsin Nazir, Aneeqa Sabah

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Improved Laplacian Biogeography-Based Optimization Algorithm and Its Application to QAP by Xinming Zhang, Doudou Wang, Haiyan Chen, Wentao Mao, Shangwang Liu, Guoqi Liu, Zhi Dou

“…A lot of experimental results on the complex functions from the CEC-2013 test set show ILxBBO obtains better performance than LxBBO and quite a few state-of-the-art algorithms do. Also, the results on Quadratic Assignment Problems (QAPs) show that ILxBBO is more competitive compared with LxBBO, Improved Particle Swarm Optimization (IPSO), and Improved Firefly Algorithm (IFA).…”
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Automatic Morpheme Segmentation for Russian: Can an Algorithm Re-place Experts? by Дмитрий Алексеевич Морозов, Тимур Александрович Гарипов, Ольга Николаевна Ляшевская, Светлана Олеговна Савчук, Борис Леонидович Иомдин, Анна Валерьевна Глазкова

“…Results: In this study, we compared several state-of-the-art machine learning algorithms using three datasets structured around different segmentation paradigms. …”
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Investigating the effects of hyperparameter sensitivity on machine learning algorithms for PV forecasting by Ehtsham Muhammad, Rotilio Marianna, Cucchiella Federica, Di Giovanni Gianni, Schettini Domenico

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Retracted: Risk Assessment of Government Debt Based on Machine Learning Algorithm by null Complexity

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Retracted: Research on the Optimization of Agricultural Industry Structure Based on Genetic Algorithm by Advances in Meteorology

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Retracted: Research on Dual Mode Target Detection Algorithm for Embedded Platform by null Complexity

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Corrigendum to “A Shrinking Projection Algorithm with Errors for Costerro Bounded Mappings” by Joseph Frank Gordon

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Retracted: Algorithm of Classroom Teaching Quality Evaluation Based on Markov Chain by null Complexity

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Retracted: Design and Realization of Animation Composition and Tone Space Conversion Algorithm by null Complexity

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Absolute finite differences based variable forgetting factor RLS algorithm by Slobodan Drašković, Željko Đurović, Vera Petrović

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Retracted: Analysis of Brand Visual Design Based on Collaborative Filtering Algorithm by Discrete Dynamics in Nature and Society

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Hierarchical Search Motion Estimation Algorithms for Real-time Video Coding by Zhang Yong Yu Lu Zhou Feng Yao Qingdong (Zhejiang University, Hangzhou 310027)

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Genetic　Searching　Algorithm　for　Optimal　Runlength-Limited　Codes　with　Error　Control by Ren Qingsheng Ye Zhongxing (Department of Applied Mathematics Shanghai Jiao Tong University, Shanghai 200030)

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