Summary of recent and state-of-the-art optimization algorithms. حسب Mahmood A. Jumaah (22272371)

A Genetic Algorithm Approach for Compact Wave Function Representations in Spin-Adapted Bases حسب Maru Song (22593561)

الموضوعات:

Change of ITAE objective function for en-CSA, CSA, RUN, PDO and RIME algorithms. حسب Sarah A. Alzakari (19704611)

الموضوعات:

Gillespie algorithm simulation parameters. حسب Nicholas H. Vitale (20469289)

الموضوعات:

ITAE objective function values for all runs of en-CSA, CSA, RUN, PDO and RIME algorithms. حسب Sarah A. Alzakari (19704611)

الموضوعات:

Boxplot analysis for ITAE objective function using en-CSA, CSA, RUN, PDO and RIME algorithms. حسب Sarah A. Alzakari (19704611)

الموضوعات:

Matlab code of a function used in S2 File. حسب Hiroko Kato Solvang (5718250)

State Function-Based Correction: A Simple and Efficient Free-Energy Correction Algorithm for Large-Scale Relative Binding Free-Energy Calculations حسب Runduo Liu (10756379)

الموضوعات:

CEC2017 basic functions. حسب Tengfei Ma (597633)

الموضوعات:

Parameters of the genetic algorithm. حسب Jian Ma (170138)

Obtained controller parameters via different algorithms. حسب Sarah A. Alzakari (19704611)

الموضوعات:

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

"…In response to the multi-agent system of the H-beam riveting and welding work cell, a recurrent multi-agent proximal policy optimization algorithm (rMAPPO) is proposed to address the multi-agent scheduling problem in the H-beam processing. …"

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

"…In response to the multi-agent system of the H-beam riveting and welding work cell, a recurrent multi-agent proximal policy optimization algorithm (rMAPPO) is proposed to address the multi-agent scheduling problem in the H-beam processing. …"

PATH has state-of-the-art performance versus previous binding affinity prediction algorithms. حسب Yuxi Long (11024307)

"…The benchmarked algorithms include physics-based and deep learning algorithms from the famous AutoDock framework (scoring function of AutoDock4 implemented in the AutoDockFR package [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1013216#pcbi.1013216.ref068" target="_blank">68</a>,<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1013216#pcbi.1013216.ref077" target="_blank">77</a>], Vinardo [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1013216#pcbi.1013216.ref069" target="_blank">69</a>], GNINA [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1013216#pcbi.1013216.ref070" target="_blank">70</a>]), empirical (AA-Score [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1013216#pcbi.1013216.ref071" target="_blank">71</a>]), knowledge-based (SMoG2016 [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1013216#pcbi.1013216.ref072" target="_blank">72</a>]), and deep learning-based scoring functions (OnionNet [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1013216#pcbi.1013216.ref073" target="_blank">73</a>], PLANET [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1013216#pcbi.1013216.ref074" target="_blank">74</a>]). …"

CEC2017 test function test results. حسب Tengfei Ma (597633)

الموضوعات:

Membership functions. حسب Tuan Anh Nguyen (121944)

Example of a Synchronous Boolean Network with 4 vertices and its State Transition Graph. حسب Alexander Andreev (16822333)

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

"…In response to the multi-agent system of the H-beam riveting and welding work cell, a recurrent multi-agent proximal policy optimization algorithm (rMAPPO) is proposed to address the multi-agent scheduling problem in the H-beam processing. …"

IEEE CEC 2017 benchmark function specifications. حسب Kankan Tang (21474968)

IEEE CEC 2022 benchmark function specifications. حسب Kankan Tang (21474968)