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Granular-ball Optimization for Continuous Problems by a.zarekar77 is a document available to read on EtoBox.

The document presents the Granular-ball Optimization (GBO) algorithm, a novel multi-granularity evolutionary optimization method designed to enhance the efficiency and robustness of solving complex continuous optimization problems. By utilizing granular-balls instead of traditional points, GBO effectively explores the solution space from coarse to fine granularity, improving the algorithm

Author

a.zarekar77

Language

EN