Hybrid Big Bang Big Crunch algorithm as a tool for forecasting and meteorological data study

For study and forecasting weather systems, the researches have to use extremely complexcombinations of numerical tools. Unluckily, classical models due to phenomena in the worldclimate, for example the greenhouse effect, may become inadequate generally because they needadaptation. Therefore, for the weather forecast problem, it is better that the heuristic approaches,such as Evolutionary Algorithms are used. Conducting tests with heuristic methods like Hybrid BigBang Big Crunch (HBB-BC) algorithm show that this algorithm has high capability to solvecomplicated problems. In this paper HBB-BC algorithm is used for analysis and prediction ofmeteorological data on real-world meteorological time series.

کلیدواژه ها:

Weather ، Climate ، HBB-BC ، Prediction ، Meteorological