Folder with all data and algorithms by Jorge Servert Lerdo de Tejada (22290001)

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. …”

IAM and IEM muxes control code. by Ayesha Waris (21368446)

“…Moreover, we propose various optimizations at architectural level to minimize resource consumption such as FIFO-based memory units for buffering of input output coefficients, LUT-based modular multiplier and distributed-ROM memories for twiddle factor storage. …”

Parameter configuration for ChildEmoNet algorithm implementation. by Zhang Shanshan (22272359)

Illustration of the recursive objective space exploration process implemented by the ROSE algorithm. by Ihab Hashem (21156806)

Homophilic vs. by Caesar Tawfeeq (21087272)

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Flow chart of implementation of metaheuristic algorithm-PI control BLDC motor. by Fizza Shafique (19996292)

Main code. by Jingguo Bi (21439766)

Developed energy optimization model with LSC based on OAWDO algorithm. by Hisham Alghamdi (20114096)

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Resource utilization of modules in proposed implementations. by Ayesha Waris (21368446)

Comparison of optical and silicon-based neural network implementations. by Reyhane Ahmadi (14857363)

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Study area and conceptual diagram of algorithm implementation in one community health worker catchment. by Mauricianot Randriamihaja (9091488)

Pseudocode for the CORDIC algorithm to compute multiplication. by Mehdi Nadiri Andabili (22097275)

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

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. …”

Accuracy of different electrical and optical neural networks for various input noise levels. by Reyhane Ahmadi (14857363)

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Visualization of the research framework’s implementation view. by Muhammad Asim Shahid (15285640)

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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