%0 Journal Article
%T Two Phase Optimization Method Based on Meta heuristic Algorithms, Big Bang-Big Crunch and Black Hole
%J Journal of Advanced Mathematical Modeling
%I Shahid Chamran University of Ahvaz
%Z 2251-8088
%A Izadi, Negar
%A Dastjerdi, Mohammad taghi
%D 2021
%\ 09/23/2021
%V 11
%N 3
%P 515-530
%! Two Phase Optimization Method Based on Meta heuristic Algorithms, Big Bang-Big Crunch and Black Hole
%K Meta heuristic algorithm
%K Black Hole algorithm
%K Big Bang- Big Crunch method
%R 10.22055/jamm.2021.37465.1932
%X This research proposes a two-phase algorithm whose main idea is based on meta heuristic algorithms, Big Bang and Black Hole. In the first phase of this algorithm, the artificial ants scan the reticulated rectangular region in parallel directions. The best points in the antâ€™s navigations are used as starting points for the second stage of this algorithm. Big Bang and Black Hole algorithms, as an exploitation phase, try to investigate more accurate answers in the neighborhood of the starting points by reducing the neighborhood radius. Numerical examples confirm that this algorithm is capable to achieve an optimal solution with the desired accuracy and low computational costs.
%U https://jamm.scu.ac.ir/article_16976_94b9bab9c3094ee35fd1276843e9f98b.pdf