01124nas a2200205   4500000000100000000000100001008004100002260001200043653001700055653002700072653001500099100001900114700001900133245007700152856009800229300001000327490000600337520056100343022001400904       2017                            d  c06/201710aOptimization10aEvolutionary Algorithm10aAlgorithms1 aAli Habiboghli1 aTayebeh Jalali00aA Solution to the N-Queens Problem Using Biogeography-Based Optimization  uhttp://www.ijimai.org/journal/sites/default/files/files/2016/12/ijimai20174_4_3_pdf_22761.pdf  a20-260 v43 aBiogeography-based Optimization (BBO) is a global optimization algorithm based on population, governed by mathematics of biogeography, and dealing with geographical distribution of biological organisms. The BBO algorithm was used in the present study to provide a solution for the N-queens problem. The performance of the proposed algorithm has been evaluated in terms of the quality of the obtained results, cost function, and execution time. Furthermore, the results of this algorithm were compared against those of genetic and particle swarm algorithms.  a1989-1660