为什么蜂群最适合多查询优化?

2022 5th International Conference on Computing and Informatics (ICCI) Pub Date : 2022-03-09 DOI:10.1109/icci54321.2022.9756086

Sayed AbdelGaber, M. Abdel-Fattah, S. Nasr

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引用次数: 0

摘要

本文给出了基于多查询优化(MQO)的群算法的性能比较结果。本文首先讨论了查询优化的过程和应用于多查询时所面临的挑战。然后，本文讨论了群算法，以及它们如何面对这些挑战并取得良好的结果。最后证明了人工蜂群(ABC)算法在时间和性能上都达到了最佳效果。

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Why Bee colony is the most suitable with multi-query optimization?

This paper presents the comparison results on the performance of the swarm algorithms with Multi-Query Optimization (MQO). First the paper discusses query optimization process and the challenges appear when applied on multi query. Then the paper tackles swarm algorithms and how did they confront these challenges and achieve good results. Finally, proved that Artificial Bee Colony (ABC) algorithm achieves the best results in time and performance.

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2022 5th International Conference on Computing and Informatics (ICCI)

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