Method evidence record

Bayesian Genetic Algorithm

A Bayesian Genetic Algorithm (BGA) replaces traditional crossover and mutation operators with a probabilistic Bayesian network learned from selected high-fitness individuals. At each generation the algorithm builds a graphical model of promising solution structure, then samples new offspring from that model, enabling the search to capture and exploit variable dependencies that standard GAs miss.

Evidence statusSources recorded, not reviewedBibliographic sources are present. Claim-level evidence review has not been performed.