BMOBench
收藏arXiv2017-07-02 更新2024-08-06 收录
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http://arxiv.org/abs/1605.07009v2
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资源简介：
BMOBench是由Abdullah Al-Dujaili和Suresh Sundaram创建的多目标优化基准平台，包含100个来自文献的多目标优化问题。这些问题根据维度、可分离性和模态性进行分类，旨在评估不同算法的性能。数据集的创建过程涉及对这些问题的选择和分类，以确保算法测试的全面性和公正性。BMOBench主要应用于算法比较和性能评估，特别是在多目标优化领域，以解决算法选择和优化策略的问题。
BMOBench is a multi-objective optimization benchmark platform created by Abdullah Al-Dujaili and Suresh Sundaram, which contains 100 multi-objective optimization problems sourced from academic literature. These problems are categorized based on dimensionality, separability and modality, aiming to evaluate the performance of various algorithms. The dataset creation process involves the selection and classification of these problems to ensure the comprehensiveness and fairness of algorithm testing. BMOBench is mainly applied to algorithm comparison and performance evaluation, especially in the field of multi-objective optimization, to address issues related to algorithm selection and optimization strategies.
提供机构：
未提及
创建时间：
2016-05-23
