Publicacións

@conference{Gestal2010635,

title = {Two-population genetic Algorithm: An approach to improve the population diversity},

author = {Marcos Gestal and Daniel Rivero and Enrique Fernández-Blanco and Juan R. Rabuñal-Dopico and Julián Dorado},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-77956290930&partnerID=40&md5=160cb688f3d49c70dbf200c0ca34c03a},

isbn = {9789896740221; 9789896740214},

year  = {2010},

date = {2010-01-01},

urldate = {2010-01-01},

journal = {ICAART 2010 - 2nd International Conference on Agents and Artificial Intelligence, Proceedings},

volume = {1},

pages = {635-639},

abstract = {Genetic Algorithms (GAs) are a technique that has given good results to those problems that require a search through a complex space of possible solutions. A key point of GAs is the necessity of maintaining the diversity in the population. Without this diversity, the population converges and the search prematurely stops, not being able to reach the optimal solution. This is a very common situation in GAs. This paper proposes a modification in traditional GAs to overcome this problem, avoiding the loose of diversity in the population. This modification allows an exhaustive search that will provide more than one valid solution in the same execution of the algorithm.},

note = {cited By 0},

keywords = {Artificial intelligence, Complex space; Diversity; Evolutionary computations; Exhaustive search; Genetic drifts; Keypoints; Optimal solutions; Population diversity; Possible solutions, Genetic algorithms},

pubstate = {published},

tppubtype = {conference}

}