The method for determining the chemical constituents of unknown materials in the algorithm. by Dong Hyeok Choi (12562048)

Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

Optimization results of MBB multi-material structure under different methods. (a) A level-set method for multi-material topology optimization [33]. (b) An alternating active-phase... by Zhao Li (300229)

Scatter diagram of different principal elements. by Jizhong Wang (7441697)

Main code. by Jingguo Bi (21439766)

Convergence curve of the DBO algorithm. by Ma Haohao (22177538)

“…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …”

Pseudo-code of large neighborhood search (<i>LNS</i>) algorithm. by Jiren CAO (20442214)

Element model generation method with geometric distribution errors by Yiqi Liu (21357815)

“…The product surface geometric distribution error is directly attached to the element nodes of the product ideal element model using the error surface reconstruction method and the replacement algorithm of the element node vector height based on the product’s point cloud data. …”

Chromosome coding. by Junjie He (700642)

Open-source code for the Spatial Optimization Model for Land Use (SSFLA-MLAS) by bowen pang (21837359)

“…<p dir="ltr">The open-source content is the source code of a land use spatial optimization model (SSFLA-MLAS) that couples the spatial leapfrog algorithm with multi-level multi-agent systems. …”

The ranking of algorithms with MPTM mutation by TOPSIS. by Jalal- ud-Din (21474307)

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The ranking of algorithms with NUM mutation by TOPSIS. by Jalal- ud-Din (21474307)

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The ranking of algorithms with PM mutation by TOPSIS. by Jalal- ud-Din (21474307)

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Performance of machine learning algorithms. by Wenxue Liu (6877754)

Algorithmic experimental parameter design. by Chuanxi Xing (20141665)

“…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…”

Visual line representation of algorithms with NUM mutation. by Jalal- ud-Din (21474307)

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Visual line representation of algorithm with PM mutation. by Jalal- ud-Din (21474307)

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Visual representation of ranks of algorithms with PM mutation. by Jalal- ud-Din (21474307)

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Visual performance of each algorithm with PM mutation. by Jalal- ud-Din (21474307)

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