Improved Reptile Search Optimization Algorithm Using Chaotic Map and Simulated Annealing for Feature Selection in Medical Field

• Published in: IEEE access Vol. 10; pp. 51428 - 51446
• Main Authors: Elgamal, Zenab, Sabri, Aznul Qalid Md, Tubishat, Mohammad, Tbaishat, Dina, Makhadmeh, Sharif Naser, Alomari, Osama Ahmad
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Chaos theory; Classification algorithms; Crocodiles; Datasets; Feature extraction; Feature selection; feature selection (FS); Genetic algorithms; Heuristic algorithms; Heuristic methods; Machine learning; Optimization; optimization algorithm; Optimization algorithms; Particle swarm optimization; Performance evaluation; Reptile search algorithm (RSA); Reptiles; Search algorithms; Search problems; Simulated annealing; simulated annealing (SA); Sociology; Statistical tests

The increased volume of medical datasets has produced high dimensional features, negatively affecting machine learning (ML) classifiers. In ML, the feature selection process is fundamental for selecting the most relevant features and reducing redundant and irrelevant ones. The optimization algorithm...