Hybridization of Arithmetic Optimization with Great Deluge Algorithms for Feature Selection Problems in Medical Diagnoses

In the field of medicine, there is a need to filter data to find information that is relevant for specific research problems. However, in the realm of scientific study, the process of selecting the appropriate data or features is a substantial and challenging problem. Therefore, in this paper, two wrapper feature selection (FS) methods based on novel metaheuristic algorithms named the arithmetic optimization algorithm (AOA) and the great deluge algorithm (GDA) were used to attempt to tackle the medical diagnostics challenge. Two methods, AOA and AOA-GD were tested on 23 medical benchmark datasets. According to all of the experimental data, the hybridization of the GDA with the AOA considerably increased the AOA’s search capability. The AOA-GD method was then compared with two previous wrapper FS approaches;namely, the coronavirus herd immunity optimizer with greedy crossover operator (CHIO-GC) and the binary moth flame optimization with Lévy flight (LBMFO_V3). When applied to the 23 medical benchmark datasets, the AOA-GD achieved an accuracy rate of 0.80, thereby surpassing both the CHIO-GC and LBMFO V3.

• Publication year

  2022

• Venue

  Jordanian Journal of Computers and Information Technology

• Publication date

  Unknown publication date

• Fields of study

  Medicine, Computer Science

• Identifiers
  DOI 10.5455/jjcit.71-1639410312
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• No references are available for this paper.

• Diversified clustering and archive pattern-based differential evolution for feature selection problems

  2025cites this paper
• An augmented Snake Optimizer for diseases and COVID-19 diagnosis

  2023cites this paper
• A Comprehensive Survey on Arithmetic Optimization Algorithm

  2023cites this paper
• A Review on Optimization Algorithms for Feature Selection

  2023cites this paper
• A Modified Binary Arithmetic Optimization Algorithm for Feature Selection

  2023cites this paper
• Advancements in arithmetic optimization algorithm: theoretical foundations, variants, and applications

  2023cites this paper