Algorithms runtime comparison. by Meilin Zhu (688698)

“…Secondly, based on the idea of pre-optimization and dynamic adjustment, a two-stage dynamic optimization model of agricultural products joint distribution network under vehicles and customers sharing is established. On this basis, considering the changes of customer demands and the speed of distribution network, a partheno-genetic hybrid simulated annealing algorithm is designed to solve the model by using the idea of disruption event processing combining immediate processing and scheduled batch processing. …”

Solution results of different algorithms. by Meilin Zhu (688698)

“…Secondly, based on the idea of pre-optimization and dynamic adjustment, a two-stage dynamic optimization model of agricultural products joint distribution network under vehicles and customers sharing is established. On this basis, considering the changes of customer demands and the speed of distribution network, a partheno-genetic hybrid simulated annealing algorithm is designed to solve the model by using the idea of disruption event processing combining immediate processing and scheduled batch processing. …”

The relevant code in the manuscript can be found in the supporting information data file. by Xini Fang (20861990)

Subjects:

Structure of the Kuhn-Munkres Algorithm. by Qingnan Ji (22662198)

Subjects:

User satisfaction scores for different algorithms. by Qingnan Ji (22662198)

Subjects:

Performance of different machine learning algorithms. by Apichat Suratanee (634281)

Abstracts of relevant literature. by Meilin Zhu (688698)

“…Secondly, based on the idea of pre-optimization and dynamic adjustment, a two-stage dynamic optimization model of agricultural products joint distribution network under vehicles and customers sharing is established. On this basis, considering the changes of customer demands and the speed of distribution network, a partheno-genetic hybrid simulated annealing algorithm is designed to solve the model by using the idea of disruption event processing combining immediate processing and scheduled batch processing. …”

Illustration of the Noisy Student algorithm proposed by [30]. by Martin Wutke (19786999)

A typical BCI system depicting the flow and processing of EEG data. by Gursimran Singh (575288)

Subjects:

Results of RF algorithm screening factors. by Jintao Li (448681)

Flowchart of the proposed Margin Weighted Robust Discriminant Score (MW-RDS) algorithm. by Sheema Gul (21519289)

Data process. by Maeva El Bouchikhi (20442436)

“…They highlighted an important number of ethical issues which could be grouped into five overarching categories: goal relevance, adverse side effects, role of employees, data process, and vagueness. …”

The relevant data file for this article. by Linsha Liu (20378293)

LuGre parameter identification convergence process. by Wanjun Zhang (496858)

Subjects:

Algorithm process. by Wei Cui (92129)

Code snippets to add user-specific custom functionality in PyNoetic. by Gursimran Singh (575288)

Subjects:

Data (3). by Qingnan Ji (22662198)

Subjects:

The Search process of the genetic algorithm. by Wenguang Li (6528113)

Subjects:

The construction process of the FCM clustering algorithm. by Xini Fang (20861990)

Subjects:

PyNoetic’s pre-processing module, which supports filtering and artifact removal, including ICA. by Gursimran Singh (575288)

Subjects: