DE algorithm flow. by Ling Zhao (111365)

“…The model characterizes room functions and spatial locations through binary coding, and uses dynamic fitness function and backtracking strategy to improve space utilization and functional fitness. …”

Training algorithm flow. by Xing Chen (140292)

Subjects:

The convergence curve of each optimization algorithm under the test function. by Hao Yang (328526)

“…<p>The convergence curve of each optimization algorithm under the test function.</p>…”

The flow of the genetic algorithm with the nested Frank-Wolfe algorithm. by Zhipeng Huang (1759759)

Subjects:

EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit by Gonzalo Colmenarejo (650249)

“…In medicinal chemistry, they are the basis for analyzing ligand–biomacromolecule interactions. Ertl’s algorithm is an approach to extract functional groups in arbitrary organic molecules that does not depend on predefined libraries of functional groups. …”

Algorithm Parameter Setting. by Tong Zhou (3770)

“…This strategy uses the improved D3QN algorithm combined with the excellent smoothness of the sine function to evaluate driving safety, helping vehicles find suitable gaps in traffic flow. …”

Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results by Se-Hee Jo (20554623)

Subjects: “…differential evolution algorithm…”

<b>Opti2Phase</b>: Python scripts for two-stage focal reducer by Morgan Najera (21540776)

Subjects:

Improved BP network algorithm flow. by Wang Xiaoqian (10502222)

The algorithm flow for modeling the pitch contours of Yue opera phonemes. by Yuhang Zhang (3144870)

Flow chart diagram of blind quantum algorithm. by Sultan H. Almotiri (14029251)

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Flow chart diagram of quantum hash function. by Sultan H. Almotiri (14029251)

Subjects:

FAR-1: A Fast Integer Reduction Algorithm Compared to Collatz and Half-Collatz by Faizan Ali (21689861)

Subjects:

Completion times for different algorithms. by Jianbin Zheng (587000)

“…This paper first analyzes the H-beam processing flow and appropriately simplifies it, develops a reinforcement learning environment for multi-agent scheduling, and applies the rMAPPO algorithm to make scheduling decisions. …”

The average cumulative reward of algorithms. by Jianbin Zheng (587000)

“…This paper first analyzes the H-beam processing flow and appropriately simplifies it, develops a reinforcement learning environment for multi-agent scheduling, and applies the rMAPPO algorithm to make scheduling decisions. …”

Optimization flow of the co-simulation method. by Shangyang Jin (21772466)

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Simulation settings of rMAPPO algorithm. by Jianbin Zheng (587000)

“…This paper first analyzes the H-beam processing flow and appropriately simplifies it, develops a reinforcement learning environment for multi-agent scheduling, and applies the rMAPPO algorithm to make scheduling decisions. …”

Reward function related parameters. by Honglei Pang (22693724)

Subjects:

Function <i>χ</i>_<i>opt</i> superimposed with the phase-field function indicating the channel geometry. by Martina Bukač (20161460)

Model intrinsic parameter flow. by Dawei Wang (471687)

Subjects: