Innovative Bacterial Colony Detection: Leveraging Multi-Feature Selection with the Improved Salp Swarm Algorithm

Innovative Bacterial Colony Detection: Leveraging Multi-Feature Selection with the Improved Salp Swarm Algorithm

In this paper, we introduce a new and advanced multi-feature selection method for bacterial classification that uses the salp swarm algorithm (SSA). We improve the SSA’s performance by using opposition-based learning (OBL) and a local search algorithm (LSA). The proposed method has three main stages...

Full description

Bibliographic Details
Main Authors: Ahmad Ihsan, Khairul Muttaqin, Rahmatul Fajri, Mursyidah Mursyidah, Islam Md Rizwanul Fattah
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Journal of Imaging
Subjects:
bacterial colony
multi-feature selection
classification accuracy
improved salp swarm algorithm
Online Access:https://www.mdpi.com/2313-433X/9/12/263

Internet

https://www.mdpi.com/2313-433X/9/12/263

Similar Items