Convergence curve of unimodal functions compared with the PSO family algorithms. حسب Yong Gao (29929)

Convergence curve of unimodal functions compared with the meta-heuristic algorithms. حسب Yong Gao (29929)

Convergence curve of others functions compared with the meta-heuristic algorithms. حسب Yong Gao (29929)

Convergence curve of multimodal functions compared with the meta-heuristic algorithms. حسب Yong Gao (29929)

Box plot of the ADGWDTO and competing algorithms for the seven benchmark functions. حسب El-Sayed M. El-kenawy (14581088)

Convergence curve of multimodal functions compared with the PSO family algorithms. حسب Yong Gao (29929)

Algorithm used in the model to automatically estimate the parameters of LD pharmacodynamics, via minimization of a cost function. حسب Mauro Ursino (144905)

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

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

Solid lines present trend curves for normalized rolling algorithmic complexity and dashed lines depict the average rolling algorithmic complexity as a function of experimental conditions. حسب Mikołaj Biesaga (17816940)

Power flow and cost optimization with Improved PSO algorithm (a). حسب Muhammad Ahmad Iqbal (11851338)

Maximum orientation bandwidth as a function of spatial frequency bandwidth (<i>ω</i>). حسب Daniel H. Baker (11559693)

Algorithm for constructing Boot-t CIs. حسب Qin Gong (118801)

"…Next, we select the gamma distribution as the prior distribution and apply the Lindley approximation algorithm to calculate `estimates of Shannon entropy and Rényi entropy under different loss functions including Linex loss function, entropy loss function, and DeGroot loss function respectively. …"

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)

The parameters of algorithms. حسب Le Huu Binh (18340233)

"…In stage 1, we build an RNP sub problem using 15% to 20% of the number of routers, with the objective function of minimizing coverage overlap between routers to form a core network. …"

Represention of the anneal schedules used as a function of the dimensionless anneal parameter <i>s</i>. حسب John Golden (9946327)

Improved NSGA-II algorithm flowchart. حسب Ying Wang (11406)

"…The upper objective function needs to be minimized, while the lower objective function needs to be maximized. …"

Ms.FPOP: A Fast Exact Segmentation Algorithm with a Multiscale Penalty حسب Arnaud Liehrmann (10970682)

"…This penalty was proposed by Verzelen et al. and achieves optimal rates for changepoint detection and changepoint localization in a non-asymptotic scenario. Our proposed algorithm, Multiscale Functional Pruning Optimal Partitioning (Ms.FPOP), extends functional pruning ideas presented in Rigaill and Maidstone et al. to multiscale penalties. …"

Evolutionary processes on special functions (a) NMO-SARA vs MS-GEP-A (b) GEP vs MS-GEP-I (c) FF-GEP vs MS-GEP. حسب Jin Ding (11522)

Parameters of trained algorithms. حسب Swathi Anil (17382903)