Replication Data for: A Metaheuristic Search Algorithm Based on Sampling and Clustering
收藏DataCite Commons2026-04-08 更新2026-04-25 收录
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https://dataverse.csuc.cat/citation?persistentId=doi:10.34810/data3157
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资源简介：
This repository contains the experimental data associated with the MCSA (Montecarlo-Clustering Search Algorithm), a stochastic metaheuristic designed for solving optimization problems. The dataset supports the results presented in the associated publication and includes raw outputs, benchmark evaluations, and problem-specific instances such as the Knapsack Problem (KP) and Multi-Objective Knapsack Problem (MOKP).
Detailed tabular and file-specific descriptions are provided within each experiment folder (EX01_instance–EX04_Synthetic).
For a deep dive into the algorithmic steps, binary encoding, and problem decomposition, please refer to the README_methodology
提供机构：
CORA.Repositori de Dades de Recerca
创建时间：
2026-03-27
