About this document
Multi-Level Surrogate Optimization Algorithm by mailonbps is a document available to read on EtoBox.
The document presents a Multi-level Surrogate-assisted Optimization Algorithm (MLSAO) designed to efficiently tackle expensive optimization problems by constructing surrogate models at different levels. The algorithm combines differential evolution and Downhill simplex methods to enhance optimization efficiency and avoid local optima, demonstrating superior performance in benchmark tests and practical applications such as tuning parameters in the Community Earth System Model. The study highlights the effect
- Author
- mailonbps
- Language
- EN