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Fast Random Opposition-Based Learning Algorithm by Trong Nghia is a document available to read on EtoBox.
What is Fast Random Opposition-Based Learning Algorithm about?
The document presents a new optimization algorithm called Fast Random Opposition-Based Learning Aquila Optimizer (FROBLAO), which combines the Aquila Optimization (AO) algorithm with a Fast Random Opposition-Based Learning strategy to enhance convergence and prevent local optima issues. The performance of FROBLAO is validated through various benchmark tests and real-life engineering problems, demonstrating its effectiveness compared to existing algorithms. The study highlights the need for improved meta-heu
- Author
- Trong Nghia
- Language
- EN