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A Recommender System For Metaheuristic Algorithms For Continuous Optimization Based On Deep Recurrent Neural Networks by scut.crazynicolas is a document available to read on EtoBox.
This document presents a recommender system for selecting metaheuristic algorithms for continuous optimization problems using deep recurrent neural networks. It addresses the challenges of low practicability and transferability in existing methods by proposing a novel tree representation of optimization problems and a new training sample collection strategy. Experimental results demonstrate that the proposed model significantly outperforms existing methods in accuracy and transferability for real-world appl
- Author
- scut.crazynicolas
- Language
- EN