The optimal path in the improvement gird map using FIQL algorithm. حسب Bing Hao (2095699)

Classification algorithm implemented in SPARTA. حسب Baptiste Ruiz (20285217)

Standard functions to test. حسب Kemal Gökhan Nalbant (18858009)

Performance profile of the four algorithms based on the function value of iteration number. حسب Sulaiman M. Ibrahim (20614376)

Comparison of results of different algorithms. حسب Zhongzhong Guo (12133402)

الموضوعات:

Feature selection algorithm. حسب Mahmoud Zeydabadinezhad (12289570)

الموضوعات:

Wilcoxon’s test results for EBJADE algorithms and other state-of-the-art DE variants using CEC2014 functions. حسب Yang Cao (53545)

"…<p>Wilcoxon’s test results for EBJADE algorithms and other state-of-the-art DE variants using CEC2014 functions.…"

Construction of the PRG score index using integrated machine learning algorithms. حسب Xiangxin Wu (22320058)

AIF and VOF derived features used to feed the machine learning algorithms. حسب Ezequiel de la Rosa (11361108)

LF and SP optimum values using the PSOGSAHO algorithm. حسب Nada Ahmed Ezz-Eldien (17396553)

Generating the PSC kernel using a double exponential function. حسب Alireza Ghadimi (13839874)

Convergence curve of real power transmission line loss minimization by using (a) the HFPSO algorithm and (b) the PSO algorithm. حسب Abdullah Khan (377292)

Algorithm testing. حسب Ziad M. Ali (12516532)

الموضوعات:

The mAP for all algorithms and 80% of the data used for training. حسب Mohammad Amin Fraiwan (20469541)

The mAP for all algorithms and 50% of the data used for training. حسب Mohammad Amin Fraiwan (20469541)

The mAP for all algorithms and 60% of the data used for training. حسب Mohammad Amin Fraiwan (20469541)

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

Benchmark functions. حسب Mingjun Li (178925)

الموضوعات:

Final assignment algorithm. حسب Negin Alisoltani (11949357)

Performances of Naïve Bayes (NB), Multilayer Perceptron (MLP), Random Forest (RF), Gradient Boosting (GB), Support Vector Machine (SVM) and K- Nearest Neighbors (KNN). حسب Solomon Shiferaw Beyene (9143178)