Bioinformatics Research Based on Evolutionary Computation

Evolutionary computation-based association analysis has achieved significant progress in the field of data mining. This research approach fully leverages the advantages of evolutionary computationEvolutionary computation (EC) in global searchGlobal search and optimizationOptimization, enhancing the efficiency and accuracy of association rule mining. The key of evolutionary computation methods lies in transforming association analysis problems into optimization problems. By doing so, the optimal association rules can be sought within the space of association rules. To achieve this objective, researchers need to define fitness functions to evaluate the quality of association rules, such as support and confidence measures. Additionally, evolutionary computation algorithms require settings for population initializationPopulation initialization, selectionSelection, mutationMutations, and other operations to effectively explore the search space.