Distribution of objective function values solved by three algorithms. by Meilin Zhu (688698)

Algorithm results based on experimental likelihood functions. by Nicolas Herzig (9230425)

Algorithm results based on FE simulated likelihood functions. by Nicolas Herzig (9230425)

“…<p>(A) Nodule depth estimation by the algorithm with the likelihood functions obtained by FEM simulation. …”

A hybrid algorithm based on improved threshold function and wavelet transform. by Bingbing Li (461702)

Subjects:

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

“…Next, a reward function is designed by integrating the decoupled multi-agent deterministic deep deterministic policy gradient (DMDDPG) algorithm. …”

Pipeline of the interactor algorithm. by Jose Cleydson F. Silva (8685594)

Diagram illustrating the main processes of the functional-structural rice model and interaction with the MPSO algorithm. by Lifeng Xu (778021)

Implementation algorithm. by Michael A. Colman (7163735)

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

Subjects:

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

Algorithm operation steps. by Junyan Wang (4738518)

“…To address these issues, this paper proposes an improved object detection algorithm named SCI-YOLO11, which optimizes the YOLO11 framework from three aspects: feature extraction, attention mechanism, and loss function. …”

Comparison of different algorithms. by Jiandong Qiu (20389944)

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:

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

Genetic algorithm flowchart. by Junjie He (700642)

Subjects: “…coverage attenuation function…”

The ALO algorithm optimization flowchart. by Wenjing Wang (181404)

“…The required number of iterations was significantly better than other algorithms. In the verification of solving economic load dispatch, the improved ant-lion optimizer achieved a total fuel cost reduction of 0.10% -2.39% and 6% in both 3-unit and 6-unit simulations, respectively, compared to the other three algorithms. …”

The IALO algorithm solution flowchart. by Wenjing Wang (181404)

“…The required number of iterations was significantly better than other algorithms. In the verification of solving economic load dispatch, the improved ant-lion optimizer achieved a total fuel cost reduction of 0.10% -2.39% and 6% in both 3-unit and 6-unit simulations, respectively, compared to the other three algorithms. …”

The one-tailed precision for the algorithm as a function of predicted week for the three scenarios and two confidence limits (68% and 95%). by David Harvey (405930)

The two-tailed precision for the algorithm as a function of predicted week for the three scenarios and two confidence intervals (68% and 95%). by David Harvey (405930)

“…<p>The two-tailed precision for the algorithm as a function of predicted week for the three scenarios and two confidence intervals (68% and 95%).…”

Comparison of algorithm search curves. by Bowen Li (200859)

“…At the same time, the characteristics of Gaussian function are introduced to ensure the activity of hidden layer neurons. …”