Statistical test of experimental results of NAFPSO and PSO algorithm. حسب Huichao Guo (14515171)

Predicted body weights (kg) as a function of time (age in weeks) obtained from MARS algorithm and Gompertz model. حسب Turgay Şengül (12801990)

"…<p>Predicted body weights (kg) as a function of time (age in weeks) obtained from MARS algorithm and Gompertz model.…"

Function test results. حسب Xiaowen Zhang (83669)

الموضوعات:

Iteration times with different learning factor. حسب Bing Hao (2095699)

الموضوعات:

Functions of the software. حسب Chen Cheng (76970)

Event time instants of heterogeneous with saturation function controller (29). حسب Linling Wang (679981)

Event time instants of heterogeneous with sign function controller (17). حسب Linling Wang (679981)

Structure diagram of dynamic signal light scheduling algorithm. حسب Guangling Sun (18165493)

الموضوعات:

Comparison chart of computation time. حسب Manoj Kumar V. (18196645)

الموضوعات:

GLIM: Greedy algorithm for edge selection in LIM. حسب Maurits H. W. Oostenbroek (11331123)

Radius of gyration (RG) of the backbone atoms of the protein as a function of time. حسب L. F. S. Bonet (11502082)

Solvent-accessible surface area (SASA) of the protein as a function of time. حسب L. F. S. Bonet (11502082)

Performances of ImpAO, AO, SMA, MFO and ABC algorithms for minimization of different error-based cost functions. حسب Davut Izci (15927452)

الموضوعات:

PSNR (dB) and SSIM of the deblurred images, and the algorithms’ running time (in seconds) on VOC2012 database. حسب Wei Zhou (24328)

الموضوعات:

The block diagram of the ASO algorithm implementation for inverse modeling. حسب Ahmad Al-Talabi (21387479)

Iterative convergence curves of each algorithm for the CEC2019 benchmark functions. حسب Guangwei Liu (181992)

الموضوعات:

Variation of function values by ADM with different tolerable waiting times. حسب Yuxuan Long (17720796)

Genetic algorithm flowchart. حسب Dingming Yang (8505990)

الموضوعات:

Parameters of the test function. حسب Yiqiong Gao (16698968)

"…The adaptive adjustment of the transition probability effectively balances the development and exploration abilities of the algorithm. The improved flower pollination algorithm (IFPA) outperformed six classical benchmark functions that were used to verify the superiority of the improved algorithm. …"

Comparison of key evaluation indicators for recommendation algorithms. حسب Mingbao Yang (14008799)