TY - JOUR
KW - Optimization
KW - Evolutionary Algorithm
KW - Algorithms
AU - Ali Habiboghli
AU - Tayebeh Jalali
AB - Biogeography-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.
IS - Regular Issue
M1 - 4
N2 - Biogeography-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.
PY - 2017
SP - 20
EP - 26
T2 - International Journal of Interactive Multimedia and Artificial Intelligence
TI - A Solution to the N-Queens Problem Using Biogeography-Based Optimization
UR - http://www.ijimai.org/journal/sites/default/files/files/2016/12/ijimai20174_4_3_pdf_22761.pdf
VL - 4
SN - 1989-1660
ER -