Rainfall prediction becomes popular in real time environment due to the developments of recent technologies. Accurate and fast rainfall predictive models can be designed by use machine learning (ML), statistical models, etc. Besides, feature selection approaches derived for eliminating curse dimensionality problems. In this aspect, paper presents a novel chaotic spider money optimization with o...

This paper studies the utility of using substructural neighborhoods for local search in the Bayesian optimization algorithm (BOA). The probabilistic model of BOA, which automatically identifies important problem substructures, is used to define the structure of the neighborhoods used in local search. Additionally, a surrogate fitness model is considered to evaluate the improvement of the local ...