An enhanced Walrus Optimizer with opposition-based learning and mutation strategy for data clustering

An enhanced Walrus Optimizer with opposition-based learning and mutation strategy for data clustering

Data clustering plays a crucial role in various domains, such as image processing, pattern recognition, and data mining. Traditional clustering techniques often suffer from limitations like sensitivity to initialization, poor convergence, and entrapment in local optima. To address these challenges,...

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Main Authors: Laith Abualigah, Saleh Ali Alomari, Mohammad H. Almomani, Raed Abu Zitar, Hazem Migdady, Kashif Saleem, Aseel Smerat, Vaclav Snasel, Absalom E. Ezugwu
Format: Article
Language:English
Published: Elsevier 2025-07-01
Series:Array
Subjects:
Optimization-based clustering
Metaheuristic algorithms
Improved Walrus Optimizer
Benchmark datasets
Swarm intelligence
Online Access:http://www.sciencedirect.com/science/article/pii/S2590005625000360
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