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

Subjects:

Fitting results of each function. by Hui Huang (4122)

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. …”

<b>Opti2Phase</b>: Python scripts for two-stage focal reducer by Morgan Najera (21540776)

“…</p><p dir="ltr">The package includes:</p><ul><li>Scripts for first-order analysis, third-order modeling, optimization using a Physically Grounded Merit Function (PGMF), and RMS-based refinement.…”

The image of the Aekley function. by Zhengyu Xu (8550660)

FAR-1: A Fast Integer Reduction Algorithm Compared to Collatz and Half-Collatz by Faizan Ali (21689861)

Subjects:

Python-based Monte Carlo Simulation Tool by Yangfan Jiang (9372782)

Results of searching performance of different algorithm models on the Rosenbrock function, Ackley function, and Rastrigin function. by Rui Zhang (13940)

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

Subjects:

Improved A* algorithm flowchart. by Peiying Li (797714)

Subjects:

Compare the test functions. by Yanqiu Li (683621)

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

Algorithm pseudocode. by Cheng-jie Chen (22272090)

Subjects:

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

The figures showed a comparison of the balanced and imbalanced sequences and performance of classifiers. by Solomon Shiferaw Beyene (9143178)

Standard benchmark functions used for the experimentation of EOSA and other similar optimization algorithms. by Tehnan I. A. Mohamed (16846175)

Algorithm Comparison. by Shaohua Fu (10573209)

“…An APP is designed on the remote monitoring and control end, and a visual data interface of the smart fish tank is made, and the user can modify the environmental parameters conducive to the biological survival inside the fish tank through the APP, it brings great convenience to the family fish tank, and the test shows that the system network is stable and fast in response, and the overall purpose of the intelligent fish tank system is achieved.…”

Algorithm testing. by Ziad M. Ali (12516532)

Subjects:

Multimodal test functions. by HaoCheng Wang (6089567)

Unimodal test functions. by HaoCheng Wang (6089567)