A modified butterfly optimization algorithm: An adaptive algorithm for global optimization and the support vector machine

2020 ◽  
Author(s):  
Kun Hu ◽  
Hao Jiang ◽  
Chen‐Guang Ji ◽  
Ze Pan
Keyword(s):  
Support Vector Machine ◽  
Global Optimization ◽  
Optimization Algorithm ◽  
Adaptive Algorithm ◽  
Support Vector

scholarly journals An Optimization Algorithm for Computer-Aided Diagnosis of Breast Cancer Based on Support Vector Machine

2021 ◽  
Vol 9 ◽  
Author(s):  
Yifeng Dou ◽  
Wentao Meng
Keyword(s):  
Breast Cancer ◽  
Support Vector Machine ◽  
Optimization Algorithm ◽  
Breast Cancer Diagnosis ◽  
Support Vector ◽  
Medical Institutions ◽  
High Level ◽  
Aided Diagnosis ◽  
Very High ◽  
Important Branch

As one of the most vulnerable cancers of women, the incidence rate of breast cancer in China is increasing at an annual rate of 3%, and the incidence is younger. Therefore, it is necessary to conduct research on the risk of breast cancer, including the cause of disease and the prediction of breast cancer risk based on historical data. Data based statistical learning is an important branch of modern computational intelligence technology. Using machine learning method to predict and judge unknown data provides a new idea for breast cancer diagnosis. In this paper, an improved optimization algorithm (GSP_SVM) is proposed by combining genetic algorithm, particle swarm optimization and simulated annealing with support vector machine algorithm. The results show that the classification accuracy, MCC, AUC and other indicators have reached a very high level. By comparing with other optimization algorithms, it can be seen that this method can provide effective support for decision-making of breast cancer auxiliary diagnosis, thus significantly improving the diagnosis efficiency of medical institutions. Finally, this paper also preliminarily explores the effect of applying this algorithm in detecting and classifying breast cancer in different periods, and discusses the application of this algorithm to multiple classifications by comparing it with other algorithms.

scholarly journals Simultaneous Feature Selection and Support Vector Machine Optimization Using the Grasshopper Optimization Algorithm

2018 ◽  
Vol 10 (3) ◽  
pp. 478-495 ◽  
Author(s):  
Ibrahim Aljarah ◽  
Ala’ M. Al-Zoubi ◽  
Hossam Faris ◽  
Mohammad A. Hassonah ◽  
Seyedali Mirjalili ◽  
...  
Keyword(s):  
Support Vector Machine ◽  
Feature Selection ◽  
Optimization Algorithm ◽  
Support Vector ◽  
Grasshopper Optimization Algorithm ◽  
Grasshopper Optimization
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