The decreasing pattern of Sine-Cosine indicating a switch from exploration to exploitation in the search space [71]. حسب Muhammad Zubair Rehman (11243478)

الموضوعات:

Convergence curves for multimodal function test. حسب Qinghe Guo (21519322)

Convergence curves for unimodal function test. حسب Qinghe Guo (21519322)

Test results of the benchmark function (F1-F9, F19-F27), the dimension is fixed to 100. حسب Yu-Jun Zhang (185411)

الموضوعات:

Test results of the benchmark function (F1-F9, F19-F27), the dimension is fixed to 60. حسب Yu-Jun Zhang (185411)

الموضوعات:

Test results of the benchmark function (F1-F9, F19-F27), the dimension is fixed to 500. حسب Yu-Jun Zhang (185411)

الموضوعات:

Algorithm comparison results of gear design problem. حسب Yu-Jun Zhang (185411)

الموضوعات:

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

"…This algorithm conducts a series of procedures: (1) fragmentation of the molecules into functional groups from SMILES, (2) calculation of activity coefficients under predetermined temperature and mole fraction conditions by employing universal quasi-chemical functional group activity coefficient (UNIFAC) model, and (3) regression of NRTL model parameters by employing UNIFAC model simulation results in the differential evolution algorithm (DEA) and Nelder–Mead method (NMM). …"

Algorithm comparison results of welded beam design problem. حسب Yu-Jun Zhang (185411)

الموضوعات:

Algorithm comparison results of compression spring design problem. حسب Yu-Jun Zhang (185411)

الموضوعات:

Verification of the in-line PS function. حسب Raul Castañeda (13932971)

(a) Radar chart of these algorithms (23 Benchmark functions), (b) The sorting diagram of these algorithms (23 Benchmark functions). حسب Yu Liu (6938)

"…<p>(a) Radar chart of these algorithms (23 Benchmark functions), (b) The sorting diagram of these algorithms (23 Benchmark functions).…"

A detailed process of iterative simulation coupled with bone density algorithm; (a) a function of stimulus and related bone density changes, and (b) iterative calculations of finite element analysis coupled with user’s subroutine for changes in bone density. حسب Hassan Mehboob (8960273)

"…<p>A detailed process of iterative simulation coupled with bone density algorithm; (a) a function of stimulus and related bone density changes, and (b) iterative calculations of finite element analysis coupled with user’s subroutine for changes in bone density.…"

Results of the application of different clustering algorithms to average functional connectivity from healthy subjects. حسب Francisco Páscoa dos Santos (16510676)

"…Inertia was calculated using the scikit learn module in Python. B) Resulting cluster distance from hierarchical clustering to averaged functional connectivity from healthy subjects, with different numbers of clusters. …"

The optimization result of 10 benchmark functions for different algorithms (D = 10). حسب Yu Li (183836)

The optimization result of 10 benchmark functions for different algorithms (D = 30). حسب Yu Li (183836)

The result of CEC2010 standard functions for different algorithms (D = 30). حسب Yu Li (183836)

The optimization result of 10 benchmark functions for different algorithms (D = 100). حسب Yu Li (183836)

The convergence curves of the function in different dimensions. حسب Yu Li (183836)

Algorithm Parameter Setting. حسب 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. …"