Table_1_A scheduling route planning algorithm based on the dynamic genetic algorithm with ant colony binary iterative optimization for unmanned aerial vehicle spraying in multiple tea fields.XLSX by Yangyang Liu (807797)

Algorithm performance under different problem sizes. by Tingting Zhang (264633)

Optimization Performance Comparison of Metaheuristic Algorithms. by Xie Qiu (13243770)

Comparison of robustness during iterations based on different DE variants. by Min Tian (438923)

Optimized network structure. by Menaa Nawaz (14304920)

Optimal Drug-Target Docking Visualization. by Qijun Wo (12992781)

Optimization parameters for the three treatment plans performed for the homogeneous and heterogeneous phantoms. by Masashi Yagi (3186909)

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DataSheet1_A two-phase robust comprehensive optimal scheduling strategy for regional distribution network based on multiple scenarios.ZIP by Hongde Ma (20137539)

The <i>D</i>_<i>98</i> in the CTV and the for the nominal scenario optimized using the WC algorithm in homogeneous and heterogeneous phantom. by Masashi Yagi (3186909)

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The <i>D</i>_<i>98</i> in the CTV and the for the nominal scenario optimized using the SC algorithm in homogeneous and heterogeneous phantoms. by Masashi Yagi (3186909)

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List of algorithms included in the COPS-package. by Teemu J. Rintala (19333003)

Subjects: “…Cell Biology…”

Flowchart for recommended Ls-AOA optimizer. by Erdal Eker (19251018)

“…This study addresses these challenges through innovative parameter estimation by introducing the logarithmic spiral search and selective mechanism-based arithmetic optimization algorithm (Ls-AOA). …”

Algorithms and evaluation metrics integrated in the COPS framework. by Teemu J. Rintala (19333003)

Subjects: “…Cell Biology…”

Flow chart of the parameter tuning algorithm [10]. by Omer Saleem (11355951)

Image_1_Identification of a Novel Prognostic Signature for Gastric Cancer Based on Multiple Level Integration and Global Network Optimization.TIF by Lin Cui (163750)

The SF of HSGc-C5 cells comparison among the experiment irradiated by IMCT (blue bar), the independent calculation (orange bar), and the experiment irradiated by SFUD (gray bar). by Masashi Yagi (3186909)

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The variation of the DVHs of dose distributions in the patient case reassessed for 28 different perturbations of beam ranges and positions in the CTV (orange) and OAR (light blue)... by Masashi Yagi (3186909)

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Rapid sequence optimization of spot welds for improved geometrical quality using a novel stepwise algorithm by Roham Sadeghi Tabar (8806442)

The Pseudo-Code of the IRBMO Algorithm. by Chenyi Zhu (9383370)

“…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …”

Parameter settings of the comparison algorithms. by Ying Li (38224)

“…<div><p>Feature selection is an important solution for dealing with high-dimensional data in the fields of machine learning and data mining. In this paper, we present an improved mountain gazelle optimizer (IMGO) based on the newly proposed mountain gazelle optimizer (MGO) and design a binary version of IMGO (BIMGO) to solve the feature selection problem for medical data. …”