Microservice combination optimisation based on improved gray wolf algorithm by Jingjing Hu, Xiaojun Xu, Jin Hao, Xiuqi Yang, Kefan Qiu, Yuanzhang Li

“…The experimental results verify that the error rate of the method is only 0.528% on the non-functional combination optimisation problem, and the computational efficiency of the algorithm increases by 97.29% when the complexity of the problem search space increases, while CGWO improves 65.97% and 81.25% respectively in the accuracy of optimisation compared to the prototype of the algorithm (GWO), and has a stable optimisation performance, aspect. …”
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Planning trajectory for UAVs using the self-organizing migrating algorithm. by Quoc Bao Diep, Thanh-Cong Truong, Ivan Zelinka

“…To optimize this cost function, we employ the self-organizing migrating algorithm, a swarm intelligence algorithm inspired by the cooperative and competitive behaviors observed in natural organisms. …”
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A Stochastic -Coverage Scheduling Algorithm in Wireless Sensor Networks by Jiguo Yu, Shaohua Ren, Shengli Wan, Dongxiao Yu, Guanghui Wang

“…Theoretical analysis and simulation results show that our algorithm can reduce the number of active nodes and extend the network lifetime significantly while maintaining a given coverage degree.…”
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An Improved Small Target Detection Algorithm Based on YOLOv8s by G. Ma, C. Xu, Z. Xu, X. Song

“…To address these challenges, this pa¬per proposes an enhanced small object detection algorithm, SOD-YOLO, based on YOLOv8s. First, the S_C2f_CAFM module is integrated into the feature extraction network, enabling the effective capture of fine-grained local features and broad contextual information, while simultaneously reducing model parameters and computational complexity. …”
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Space Trajectory Planning with a General Reinforcement-Learning Algorithm by Andrea Forestieri, Lorenzo Casalino

“…The proposed framework integrates Monte Carlo Tree Search with a neural network to efficiently explore and optimize space trajectories. While developed for space trajectory planning, the algorithm is broadly applicable to any problem involving hybrid action spaces. …”
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Deep learning algorithms for detecting fractured instruments in root canals by Ekin Deniz Çatmabacak, İrem Çetinkaya

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An Efficient Evolutionary Neural Architecture Search Algorithm Without Training by Yang An, Changsheng Zhang, Jintao Shao, Yuxiao Yan, Baiqing Sun

“…Comparative analysis with state-of-the-art algorithms shows that our proposed method identifies network architectures with comparable or better performance while requiring significantly less time.…”
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Comparative analysis of dehazing algorithms on real-world hazy images by Chaobing Zheng, Wenjian Ying, Qingping Hu

“…Experimental results conducted on real-world hazy images reveal that physics-driven single-image dehazing algorithms exhibit a lack of robustness, while data-driven approaches perform well on thin hazy images but struggle in dense haze conditions. …”
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Application of evolutionary algorithm in estimation of environmental performance in farm systems by Srđan Jović, Dalibor Radovanović, Dušan Marković

“…Multi-objective genetic algorithm (MOGA) as one of the EAs was selected and wheat as one of the most important strategic crops was chosen in order to test the application of these algorithms in farm systems. …”
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MGL-YOLO: A Lightweight Barcode Target Detection Algorithm by Yuanhao Qu, Fengshou Zhang

“…Experimental results show that the proposed algorithm increases MAP50 and MAP50.95 by 2.57% and 2.31%, respectively, compared to YOLOv8, while reducing parameter size and computational cost by 36.21% and 34.15%, respectively. …”
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Optimized Power Allocation Algorithms for UAV-Based Agricultural Systems by Ayman Massaoudi, Walid Aydi

“…To achieve this, we deploy a downlink fairness-based algorithm (DFA) and a downlink hybrid algorithm (DHA). …”
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Improved sphere decoding algorithm based on ±1 quadratic programming by LI Zi1, CAI Yue-ming1

“…With the ±1 quadratic programming of the MIMO detection,the necessary conditions for MIMO detection op-timal solution were derived.An improved sphere decoding algorithm based on these necessary conditions was proposed.The algorithm prunes redundant nodes by necessary conditions based on the origin sphere decoding.With this pruning strategy,the complexity of algorithm is reduced significantly,while holding the bit error rate performance.…”
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Improved Field Obstacle Detection Algorithm Based on YOLOv8 by Xinying Zhou, Wenming Chen, Xinhua Wei

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Multijunction solar cell parameter estimation based on metaheuristic algorithms by Marwa M. Elzalabani, Doaa M. Atia, Aref Y. Eliwa, Belal A. Abou Zalam, Mahmoud S. AbouOmar

“…The MFO algorithm outperforms the GWO algorithm in SDM and DDM scenarios, while the reverse is true for TDM. …”
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Sustainable Mineral Processing Technologies Using Hybrid Intelligent Algorithms by Olga Shiryayeva, Batyrbek Suleimenov, Yelena Kulakova

“…The proposed control algorithm reduces chromium losses in tailings from 7.5% to 5.5%, while improving concentrate quality by 3–6%. …”
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L’involution géographique : des données géosociales aux algorithmes by Teriitutea Quesnot

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Relatively Inexact Proximal Point Algorithm and Linear Convergence Analysis by Ram U. Verma

“…Based on a notion of relatively maximal (m)-relaxed monotonicity, the approximation solvability of a general class of inclusion problems is discussed, while generalizing Rockafellar's theorem (1976) on linear convergence using the proximal point algorithm in a real Hilbert space setting. …”
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Fleet management algorithm for enhancing environmental friendliness of maritime delivery by Андрій Романов

“…Such an algorithm ensures effective management of maritime delivery route planning projects, while significantly reducing fuel consumption and CO2 emissions into the environment. …”
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Noise-tolerant Grover's algorithm via success-probability prediction by Jian Leng, Fan Yang, Xiang-Bin Wang

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Network selection algorithm based on synergetic for heterogeneous wireless network by Ran LUO, Su ZHAO, Qi ZHU

“…The simulation results show that the QoS satisfaction rate of services based on the proposed algorithm is 95%, while the QoS satisfaction rate of services based on the TOPSIS algorithm is only 25%, and the performance of the former is improved by nearly four times, indicating that the problem of multi-service terminal network selection can be solved by the proposed algorithm.…”
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