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

dc.contributor.author	Habiboghli, Ali
dc.contributor.author	Jalali, Tayebeh
dc.date	2017-06
dc.date.accessioned	2021-08-26T12:31:22Z
dc.date.available	2021-08-26T12:31:22Z
dc.identifier.issn	1989-1660
dc.identifier.uri	https://reunir.unir.net/handle/123456789/11744
dc.description.abstract	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.	es_ES
dc.language.iso	eng	es_ES
dc.publisher	International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)	es_ES
dc.relation.ispartofseries	;vol. 4, nº 4
dc.relation.uri	https://ijimai.org/journal/bibcite/reference/2602	es_ES
dc.rights	openAccess	es_ES
dc.subject	optimization	es_ES
dc.subject	evolutionary algorithm	es_ES
dc.subject	algorithms	es_ES
dc.subject	IJIMAI	es_ES
dc.title	A Solution to the N-Queens Problem Using Biogeography-Based Optimization	es_ES
dc.type	article	es_ES
reunir.tag	~IJIMAI	es_ES
dc.identifier.doi	https://doi.org/10.9781/ijimai.2017.443

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