A Solution to the N-Queens Problem Using Biogeography-Based Optimization

dc.creatorHabiboghli, Ali
dc.creatorJalali, Tayebeh
dc.date.accessioned2021-08-26T12:31:22Z
dc.date.accessioned2023-03-07T19:32:22Z
dc.date.available2021-08-26T12:31:22Z
dc.date.available2023-03-07T19:32:22Z
dc.date.created2021-08-26T12:31:22Z
dc.identifier1989-1660
dc.identifierhttps://reunir.unir.net/handle/123456789/11744
dc.identifierhttps://doi.org/10.9781/ijimai.2017.443
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5906053
dc.description.abstractBiogeography-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.
dc.languageeng
dc.publisherInternational Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)
dc.relation;vol. 4, nº 4
dc.relationhttps://ijimai.org/journal/bibcite/reference/2602
dc.rightsopenAccess
dc.subjectoptimization
dc.subjectevolutionary algorithm
dc.subjectalgorithms
dc.subjectIJIMAI
dc.titleA Solution to the N-Queens Problem Using Biogeography-Based Optimization
dc.typearticle


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