Algorithm parameter settings employed in the experiments on simulated data. by Liyan Sun (760586)

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Algorithm flow chart. by Yun Qi (560401)

“…The MSWOA algorithm generates the shortest and smoothest path among the tested methods.Based on the analysis of the path graph and iteration frequency graph, it is recommended to apply the MSWOA algorithm to path planning experiments. …”

Algorithm iteration graph. by Yun Qi (560401)

“…The MSWOA algorithm generates the shortest and smoothest path among the tested methods.Based on the analysis of the path graph and iteration frequency graph, it is recommended to apply the MSWOA algorithm to path planning experiments. …”

Path length variation diagram of each algorithm. by Yun Qi (560401)

“…The MSWOA algorithm generates the shortest and smoothest path among the tested methods.Based on the analysis of the path graph and iteration frequency graph, it is recommended to apply the MSWOA algorithm to path planning experiments. …”

Simulation results of each algorithm path map. by Yun Qi (560401)

“…The MSWOA algorithm generates the shortest and smoothest path among the tested methods.Based on the analysis of the path graph and iteration frequency graph, it is recommended to apply the MSWOA algorithm to path planning experiments. …”

The Pseudo-Code of the IRBMO Algorithm. by Chenyi Zhu (9383370)

“…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. …”

Code and data. by Shangyang Jin (21772466)

“…This strategy combines the design of experiments (DOE), genetic algorithm (GA), and NLPQL algorithm, which is referred to as the DGN method. …”

Data and code used in this article. by Yazhen Zhu (3595430)

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Data and code resources. by Sam Hall-McMaster (10343795)

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Greedy optimization algorithm. by Alexis Bénichou (19832361)

Data & code. by Mingming Li (502877)

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Optimization-Driven Steganographic System Based on Fused Maps and Blowfish Encryption by Ahmed Aljughaiman (21793526)

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data_code.zip by Mengmeng Gong (20129994)

“…In this study, we conduct an in-depth investigation of a novel adaptive covariance inflation algorithm (t-X) within the framework of an observation system simulation experiment (OSSE) based on anintermediate coupled model (ICM) and the Ensemble Adjustment KF(EAKF), aiming to develop a joint approach for optimizing both model parameters and initial fields simultaneously. …”

File includes code "Transfer learning.R" and "updatebeta.cpp" for implementing transfer learning methods. by Lulu Pan (8977979)

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G R code algorithm. by R. Sakthivel (2589547)

“…The algorithm was developed and coded in Verilog and simulated using Modelsim. …”

S1 Code - by Jialiang Zhang (1574704)

“…After obtaining the fault features, a multi-fault classifier is designed based on the LSSVM. In order to improve the training speed and reduces storage, a simplified LSSVM model is used to construct the classifier, and the conjugate gradient algorithm is used for training. …”

Benchmark functions. by Yun Qi (560401)

“…The MSWOA algorithm generates the shortest and smoothest path among the tested methods.Based on the analysis of the path graph and iteration frequency graph, it is recommended to apply the MSWOA algorithm to path planning experiments. …”

Function testing and iterative variation diagram. by Yun Qi (560401)

“…The MSWOA algorithm generates the shortest and smoothest path among the tested methods.Based on the analysis of the path graph and iteration frequency graph, it is recommended to apply the MSWOA algorithm to path planning experiments. …”

Rank sum data graph. by Yun Qi (560401)

“…The MSWOA algorithm generates the shortest and smoothest path among the tested methods.Based on the analysis of the path graph and iteration frequency graph, it is recommended to apply the MSWOA algorithm to path planning experiments. …”

Map Environment model map. by Yun Qi (560401)

“…The MSWOA algorithm generates the shortest and smoothest path among the tested methods.Based on the analysis of the path graph and iteration frequency graph, it is recommended to apply the MSWOA algorithm to path planning experiments. …”