Listed python codes of our algorithm with explanations (Python 3.9 recommended). by Takayuki Niizato (162226)

Flowchart of P&O-based MPPT algorithm. by Luqman Khan (17921419)

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

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Greedy optimization algorithm. by Alexis Bénichou (19832361)

The main steps of the general algorithm. by Dror Mughaz (18017583)

Feature selection algorithm. by Mahmoud Zeydabadinezhad (12289570)

“…Our analysis pipeline included pre-processing steps, feature extraction from both time and frequency domains, a voting algorithm for selecting features, and model training and validation. …”

The number of inactive nodes as a function of time steps in (a) a random network and (b) a scale-free network. by Waseem Al-Aqqad (14123917)

CEC2017 basic functions. by Tengfei Ma (597633)

“…<div><p>To address the limitations of the Zebra Optimization Algorithm (ZOA), including insufficient late-stage optimization search capability, susceptibility to local optima, slow convergence, and inadequate exploration, this paper proposes an enhanced Zebra Optimization Algorithm integrating opposition-based learning and a dynamic elite-pooling strategy (OP-ZOA: Opposition-Based Learning Dynamic Elite-Pooling Zebra Optimization Algorithm). he proposed search algorithm employs a good point set-elite opposition-based learning mechanism to initialize the population, enhancing diversity and facilitating escape from local optima. …”

Interview realization survival analysis at 6M as a function of follow-up time in months. by Larissa Djembi Fossi (12174611)

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

“…<p>Given a time series in <math><mrow><mrow><mi>R</mi></mrow><mi>n</mi></mrow></math> with a piecewise constant mean and independent noises, we propose an exact dynamic programming algorithm for minimizing a least-squares criterion with a multiscale penalty, favoring well-spread changepoints. …”

First-order lag averaging filtering algorithm. by Shaohua Fu (10573209)

“…<div><p>In order to improve the hardware configuration and interaction mode of the fish tank system and realize the diversification of client functions, the purpose of real-time remote monitoring and management is achieved. …”

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

Wilcoxon p-value of the en-CSA vs baseline algorithms for CEC2020. by Sarah A. Alzakari (19704611)

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Application of the smooth-index algorithm to the single-column connectome of the Drosophila optic lobe. by Alexander Borst (32619)

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Comparison of the smooth-index (‘SI’) algorithm with feedback arc set (‘FAS’) sorting. by Alexander Borst (32619)

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Comparison of traffic signal control between modern and contemporary times [32]. by Guangling Sun (18165493)

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Our algorithms process large data sets within a minute. by Manu Aggarwal (15990691)

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

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A fast algorithm for the accelerated failure time model with high-dimensional time-to-event data by Taehwa Choi (10880618)

“…This can be done by using a second-order approximation of the smoothed estimating function and coordinate decent algorithm. …”

Loss function and accuracy curve comparison. by Dayu Zhang (710629)