一种用于分类问题的改进磷虾群优化技术

Q3 Earth and Planetary Sciences

Scientific Review Engineering and Environmental Sciences Pub Date : 2021-06-25 DOI:10.22630/PNIKS.2021.30.2.30

Firas Al-Mashhadani, Ibrahim Al-Jadir, Qusay S. Alsaffar

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引用次数: 0

摘要

在本文中，该方法旨在改进机器学习中分类问题的优化。EKH作为一种全局搜索优化方法，它分配解决方案的最佳表示(磷虾个体)，而它使用模拟退火(SA)来修改生成的磷虾个体(每个个体代表一组比特)。试验结果表明，该方法在外部和内部评价指标上均优于其他方法。

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An enhanced krill herd optimization technique used for classification problem

In this paper, this method is intended to improve the optimization of the classification problem in machine learning. The EKH as a global search optimization method, it allocates the best representation of the solution (krill individual) whereas it uses the simulated annealing (SA) to modify the generated krill individuals (each individual represents a set of bits). The test results showed that the KH outperformed other methods using the external and internal evaluation measures.

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来源期刊

Scientific Review Engineering and Environmental Sciences Earth and Planetary Sciences-Earth-Surface Processes

CiteScore

1.50

自引率

0.00%

发文量

审稿时长

26 weeks

期刊介绍： Scientific Review Engineering and Environmental Sciences [Przegląd Naukowy Inżynieria i Kształtowanie Środowiska] covers broad area of knowledge and practice on fields such as: sustainable development, landscaping of non-urbanized lands, environmental engineering, construction projects engineering land management, protection and land reclamation, environmental impact of investments, ecology, hydrology and water management, ground-water monitoring and restoration, geotechnical engineering, meteorology and connecting subjects. Authors are welcome to submit theoretical and practice-oriented papers containing detailed case studies within above mentioned disciplines. However, theoretical papers should contain part with practical application of the theory presented. Papers (in Polish or English languages) are accepted for publication after obtaining positive opinions of two reviewers. Papers published elsewhere are not accepted.