An RNA evolutionary algorithm based on gradient descent for function optimization
Qiuxuan Wu,
Zikai Zhao,
Mingming Chen
et al.
Abstract:The optimization of numerical functions with multiple independent variables was a significant challenge with numerous practical applications in process control systems, data fitting, and engineering designs. Although RNA genetic algorithms offer clear benefits in function optimization, including rapid convergence, they have low accuracy and can easily become trapped in local optima. To address these issues, a new heuristic algorithm was proposed, a gradient descent-based RNA genetic algorithm. Specifically, ad… Show more
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