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

“…<p>Boxplot analysis for ITAE objective function using en-CSA, CSA, RUN, PDO and RIME algorithms.…”

Results on solving TSS using different evolutionary and greedy algorithms. by Alexander Andreev (16822333)

Subjects:

Critical values of membership functions learned from the study cohort by the algorithm. by Yufeng Zhang (195768)

Predictions from a Universal Value Function Approximator (UVFA) algorithm. by Sam Hall-McMaster (10343795)

Subjects:

Comparison of PSOLFWM with other meta-heuristic algorithms using t-Test. by Yong Gao (29929)

Convergence results of different dimensional functions under different algorithms. by Guilian Feng (18530806)

Pseudo-code of DMDDPG algorithm. by Guohua Cao (697580)

“…First, we analyze the stages of hole-seeking, alignment, and insertion in the shaft-hole assembly process, based on a comprehensive study of the interactions between shafts and holes. Next, a reward function is designed by integrating the decoupled multi-agent deterministic deep deterministic policy gradient (DMDDPG) algorithm. …”

Convergence of the numerical solution of the non-linear equation system through the iterations <i>p</i> using the Newton-Raphson algorithm and the Levenberg–Marquardt algorithm. by Martin Dodek (20623832)

Subjects:

Architecture of the bottleneck 3D ResNet. by Adam L. Tyson (10892822)

Algorithm framework. by Zongjin Li (38031)

Subjects:

Schematic diagram of RRT-Connect algorithm expansion. by Zhenggang Wang (1753657)

Subjects: “…target gravitational function…”

List of feature selection methods used in the voting algorithm. by Mahmoud Zeydabadinezhad (12289570)

Subjects:

Search Algorithms and Loss Functions for Bayesian Clustering by David B. Dahl (11761055)

“…<p>We propose a randomized greedy search algorithm to find a point estimate for a random partition based on a loss function and posterior Monte Carlo samples. …”

Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. by Yuanchen Zhao (12905580)

Subjects:

CEC2017 test function images and iteration curves of different algorithms. by Tengfei Ma (597633)

Subjects:

Overview of our study for sampling candidate aptamer sequences using the API classifiers and MCTS. by Gwangho Lee (11027565)

“…<p>(A) shows the process of choosing the best model from the random forest classifier trained by the API classification benchmark dataset. (B) illustrates our iterative forward sampling algorithm to obtain the candidate aptamer sequences that bind to the given target protein. …”

Non-converging numerical solution of the non-linear equation system through the iterations <i>p</i> using the Newton-Raphson algorithm and the Levenberg–Marquardt algorithm. by Martin Dodek (20623832)

Subjects:

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

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

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

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