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Source code for MSMOA

This repository provides the source code, experimental scripts, configuration files, benchmark-function definitions, application-case data, plotting scripts, and statistical-testing scripts used to support the manuscript entitled “Performance of Multi-strategy Optimized Mayfly Optimization Algorithm for Location Selection of University Reimbursement Form Submission Terminals.” The repository is designed to support reproducibility of the main experiments reported in the manuscript. It includes MATLAB implementations of the proposed Multi-strategy Optimized Mayfly Optimization Algorithm (MSMOA) and the compared algorithms, including MOA, PSO, GWO, SSA, and DESMA. The experimental scripts reproduce the main benchmark comparison, ablation study, parameter sensitivity analysis, Wilcoxon rank-sum tests, and the reimbursement-terminal location-selection application case. The benchmark experiments cover scalable test functions evaluated under 30D, 50D, and 100D settings, as well as fixed-dimensional benchmark functions. The plotting scripts generate the convergence curves and application-case figures, while the table-generation scripts export the numerical results used in the manuscript. The application case uses anonymized or simulated demand-point coordinates and demand weights to illustrate a simplified coordinate-distance-based facility-location model. No personally identifiable information, human participant data, questionnaire data, interview data, or individual-level behavioral data are included. A README file is provided to describe the folder structure, software environment, execution steps, and expected outputs. The repository is intended to facilitate independent verification, reuse, and extension of the proposed MSMOA framework.

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RESOURCE OVERVIEW

资源说明

This repository provides the source code, experimental scripts, configuration files, benchmark-function definitions, application-case data, plotting scripts, and statistical-testing scripts used to support the manuscript entitled “Performance of Multi-strategy Optimized Mayfly Optimization Algorithm for Location Selection of University Reimbursement Form Submission Terminals.” The repository is designed to support reproducibility of the main experiments reported in the manuscript. It includes MATLAB implementations of the proposed Multi-strategy Optimized Mayfly Optimization Algorithm (MSMOA) and the compared algorithms, including MOA, PSO, GWO, SSA, and DESMA. The experimental scripts reproduce the main benchmark comparison, ablation study, parameter sensitivity analysis, Wilcoxon rank-sum tests, and the reimbursement-terminal location-selection application case. The benchmark experiments cover scalable test functions evaluated under 30D, 50D, and 100D settings, as well as fixed-dimensional benchmark functions. The plotting scripts generate the convergence curves and application-case figures, while the table-generation scripts export the numerical results used in the manuscript. The application case uses anonymized or simulated demand-point coordinates and demand weights to illustrate a simplified coordinate-distance-based facility-location model. No personally identifiable information, human participant data, questionnaire data, interview data, or individual-level behavioral data are included. A README file is provided to describe the folder structure, software environment, execution steps, and expected outputs. The repository is intended to facilitate independent verification, reuse, and extension of the proposed MSMOA framework.

聚变仿真科学计算软件生态Mayfly Optimization Algorithm; MSMOA; swarm intelligence; benchmark optimization; ablation study; parameter sensitivity analysis; facility location; reimbursement terminal location selection; MATLAB; reproducibility
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研究使用指引

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核验重点正式研究应完成代码验证、基准对比、结果复现和必要的实验验证
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