Improved cell search algorithm for 5G NR by Baojiang DONG, Chen PENG, He LU

“…The era of 5G NR has higher requirements for speed, capacity and user experience.In 5G NR physical layer, cell search is an indispensable process.Cell search mainly includes primary synchronization signal (PSS) detection algorithm and secondary synchronization signal (SSS) detection algorithm.The traditional PSS detection algorithm and SSS detection algorithm can’t satisfy the basic requirements of 5G NR.In order to solve this problem, an improved PSS detection algorithm based on the traditional M-segment cross-correlation detection algorithm was proposed.When the channel environment is bad, the traditional SSS detection algorithm will also fail.The improved SSS detection algorithm proposed can solve this problem.Finally, the traditional algorithm and the improved algorithm were compared and analyzed.The simulation results show that the detection performance of the proposed algorithm is significantly improved, and the detection efficiency and overall performance are also improved.…”
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A Proposed Harmony Search Algorithm for Honeyword Generation by Yasser A. Yasser, Ahmed T. Sadiq, Wasim AlHamdani

“…Many honeyword generation techniques are presented; each one has a flaw in the generating process, a lack of support for all honeyword characteristics, and a slew of honeyword problems. The harmony search algorithm (HSA), a metaheuristic intelligence algorithm inspired by music, is used in this article to offer a novel method for generating honeyword. …”
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Sequentially Modified Gravitational Search Algorithm for Image Enhancement by Ferzan Katırcıoğlu, Uğur Güvenç

“…Gravitational Search Algorithm (GSA) is based on the acceleration trend feature of objects with a mass towards each other and includes many interdependent parameters. …”
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Multi-strategy collaborative optimization of gravitational search algorithm by Zhonghua Yang, Yuanli Cai, Ge Li, Peng Wang, Yu Chen

“…Abstract To address the shortcomings of the gravitational search algorithm, such as its tendency to fall into local optima, slow convergence, and low solution accuracy, this paper proposes a gravitational search algorithm based on multi-strategy cooperative optimization. …”
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A multistrategy improved hunger games search algorithm by Qiu Yihui, Zhang Xinqiang, Li Ruoyu, Li Dongyi, Xia Feihan

“…The addition of oppositional learning further improves the robustness of the search process. Extensive evaluations on 23 benchmark functions, the CEC2017 test suite, and two engineering design problems demonstrate that MHGS achieves a 23.7% average improvement in accuracy compared to seven state-of-the-art algorithms (Wilcoxon rank-sum test, p < 0.05). …”
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An Efficient Evolutionary Neural Architecture Search Algorithm Without Training by Yang An, Changsheng Zhang, Jintao Shao, Yuxiao Yan, Baiqing Sun

“…In this paper, we propose an efficient Evolutionary Neural Architecture Search (ENAS) method to address this issue. Specifically, in order to accelerate the convergence speed of the algorithm and shorten the search time, thereby avoiding blind searching in the early stages of the algorithm, we drew on the principles of biometrics to redesign the interaction between individuals in the evolutionary algorithm. …”
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Application of Artificial Intelligence Computer Intelligent Heuristic Search Algorithm by Fanghai Gong

“…Through the comparative analysis, it can be seen that compared with the other two optimization algorithms, the heuristic search algorithm is significantly better than the other two optimization algorithms, both in terms of the optimal value and the number of optimization iterations. …”
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Two Kinds of Classifications Based on Improved Gravitational Search Algorithm and Particle Swarm Optimization Algorithm by Hongping Hu, Xiaxia Cui, Yanping Bai

“…Gravitational Search Algorithm (GSA) is a widely used metaheuristic algorithm. …”
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A Combined Cubic and Novel Line Search CG-Algorithm by Abbas Al-Bayati, Hamsa Chilmerane

“…In this paper a new line search technique is investigated. It uses (cubic and novel) line searches in the standard CG-algorithm for unconstrained optimization. …”
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Novel Global Harmony Search Algorithm for Least Absolute Deviation by Longquan Yong

“…Since LAD is nonsmooth optimization problem, this paper proposed a metaheuristics algorithm named novel global harmony search (NGHS) for solving. …”
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Virtual network embedding algorithm based on consultant guided search by Wentan LIU, Lei ZHUANG, Mengyang HE, Shuaikui TIAN, Yu SONG, Guoqing WANG

“…Considering at the problem of virtual network embedding,a virtual network embedding algorithm based on consultant guided search was proposed.The CPU of node,node degree and adjacent bandwidth were considered comprehensively,and the virtual network embedding was carried out with the meta-heuristic consultant guidance search.Experimental results show that compared with EAJTA-VNE algorithm and ANT-VNE algorithm,the proposed CGS-VNE algorithm has a higher request acceptance rate and revenue-cost ratio,and the embedding time in the context of low,medium and high resource demand of virtual network requests is shorten.…”
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Channel-Hopping Sequence and Searching Algorithm for Rendezvous of Spectrum Sensing by Young-June Choi, Young-Sik Kim, Ji-Woong Jang

“…We mathematically analyzed and calculated the ETTR when the m-sequence is applied to the conventional scheme, and our simulation results demonstrated that the ETTR performance is significantly better than that of the JS algorithm. Furthermore, we introduced a new channel-searching scheme that maximizes the benefits of the m-sequence and proposed a method to adapt the generation of the m-sequence for use in the newly proposed scheme. …”
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Algorithms for Recollection of Search Terms Based on the Wikipedia Category Structure by Stijn Vandamme, Filip De Turck

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New One-Dimensional Search Iteration Algorithm and Engineering Application by Yiping Luo, Jinhao Meng, Defa Wang, Guobin Xue

“…Based on the solution of the Golden Section method, this paper proposes an efficient one-dimensional search algorithm, which has the advantages of fast convergence and good stability. …”
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Gravitation search algorithm: Application to the optimal IIR filter design by Suman Kumar Saha, Rajib Kar, Durbadal Mandal, S.P. Ghoshal

“…This paper presents a global heuristic search optimization technique known as Gravitation Search Algorithm (GSA) for the design of 8th order Infinite Impulse Response (IIR), low pass (LP), high pass (HP), band pass (BP) and band stop (BS) filters considering various non-linear characteristics of the filter design problems. …”
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A Comparative Analysis of Different Machine Learning Algorithms Developed with Hyperparameter Optimization in the Prediction of Student Academic Success by Bahar Demirtürk, Tuba Harunoğlu

“…Hyperparameter optimization was performed using genetic algorithm and grid search methods and model accuracy was tested with 10-fold cross-validation. …”
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Optimisation of engineering system using a novel search algorithm: the Spacing Multi-Objective Genetic Algorithm by L. Falahiazar, H. Shah-Hosseini

“…Recently, it has been recognised that the evolutionary algorithms optimise well these types of problems. This paper proposes a novel multi-objective search algorithm that is called the Spacing Multi-Objective Genetic Algorithm (Spacing-MOGA). …”
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Comparing AI-Generated Stimuli and Photos: Visual Search Study by Frol A. Sapronov, Elena S. Gorbunova

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Improve the Hunger Games search algorithm to optimize the GoogleNet model. by Yanqiu Li, Shizheng Qu, Huan Liu

“…Firstly, adaptive weights and chaos mapping were integrated into the hunger search algorithm to construct a new algorithm, ATHGS. …”
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Adaptive Cooperative Search Algorithm for Air Pollution Detection Using Drones by Il-kyu Ha

“…This paper presents a 3D cube-based adaptive cooperative search algorithm that allows two drones to collaborate to explore air pollution. …”
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