Flowchart of proposed fitness function algorithm. حسب Ferhat Yuna (21519851)

الموضوعات:

Algorithm pseudocode. حسب Cheng-jie Chen (22272090)

الموضوعات:

Algorithm testing. حسب Ziad M. Ali (12516532)

الموضوعات:

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

الموضوعات: "…lindley approximation algorithm…"

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

"…<p>Standard benchmark functions used for the experimentation of EOSA and other similar optimization algorithms.…"

Algorithm Comparison. حسب 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.…"

DMTD algorithm. حسب Yunhu Huang (21402795)

الموضوعات:

A heatmap of the examined values for Jaya algorithm parameters. حسب Fadi K. Dib (5204807)

الموضوعات:

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

الموضوعات:

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

الموضوعات:

Search Algorithms and Loss Functions for Bayesian Clustering حسب 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. …"

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

Types of training algorithms. حسب Caixia Yan (6647072)

The SSIM for the different algorithms. حسب Bingbing Li (461702)

الموضوعات:

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

The pseudocode for the NAFPSO algorithm. حسب Huichao Guo (14515171)

"…In view of the high-dimensional complexity and local optimal problems, the neighborhood adaptive constrained fractional particle swarm optimization (NACFPSO) algorithm is used to solve it. The experimental results show that compared with the traditional particle swarm optimization algorithm, NACFPSO performs well in both convergence speed and scheduling time, with an average convergence speed of 81.17 iterations and an average scheduling time of 200.00 minutes; while the average convergence speed of the particle swarm optimization algorithm is 82.17 iterations and an average scheduling time of 207.49 minutes. …"

PSO algorithm flowchart. حسب Huichao Guo (14515171)

"…In view of the high-dimensional complexity and local optimal problems, the neighborhood adaptive constrained fractional particle swarm optimization (NACFPSO) algorithm is used to solve it. The experimental results show that compared with the traditional particle swarm optimization algorithm, NACFPSO performs well in both convergence speed and scheduling time, with an average convergence speed of 81.17 iterations and an average scheduling time of 200.00 minutes; while the average convergence speed of the particle swarm optimization algorithm is 82.17 iterations and an average scheduling time of 207.49 minutes. …"

WGCNA and machine learning algorithms. حسب Shushu Wang (6870191)

Parameters of trained algorithms. حسب Swathi Anil (17382903)

DE algorithm flow. حسب Ling Zhao (111365)

"…<div><p>To solve the problems of insufficient global optimization ability and easy loss of population diversity in building interior layout design, this study proposes a novel layout optimization model integrating interactive genetic algorithm and improved differential evolutionary algorithm to improve the global optimization ability and maintain population diversity in building layout design. …"