TY - GEN
T1 - Reducing the cycling problem in evolutionary algorithms
AU - Montiel, Oscar
AU - Castillo, Oscar
AU - Melin, Patricia
AU - Díaz, Antonio Rodríguez
AU - Sepúlveda, Roberto
PY - 2005
Y1 - 2005
N2 - The aim of this paper is to give a method for reducing the problem of getting trapped in local optima (cycling), which is a common problem in evolutionary algorithms. For solving this problem we are proposing to use a Tabu method for avoiding already visited regions, this in combination with a novel fuzzy method that can handle imperfect knowledge in a broader way than Intuitionistic fuzzy logic does. This fuzzy method can manage non-contradictory, doubtful, and contradictory information provided by experts, providing a mediated solution, so we called it Mediative Fuzzy Logic.
AB - The aim of this paper is to give a method for reducing the problem of getting trapped in local optima (cycling), which is a common problem in evolutionary algorithms. For solving this problem we are proposing to use a Tabu method for avoiding already visited regions, this in combination with a novel fuzzy method that can handle imperfect knowledge in a broader way than Intuitionistic fuzzy logic does. This fuzzy method can manage non-contradictory, doubtful, and contradictory information provided by experts, providing a mediated solution, so we called it Mediative Fuzzy Logic.
KW - Cycling
KW - HEM
KW - Mediative Fuzzy Logic
KW - Optimization
UR - http://www.scopus.com/inward/record.url?scp=38949118330&partnerID=8YFLogxK
M3 - Contribución a la conferencia
AN - SCOPUS:38949118330
SN - 9781932415667
T3 - Proceedings of the 2005 International Conference on Artificial Intelligence, ICAI'05
SP - 426
EP - 432
BT - Proceedings of the 2005 International Conference on Artificial Intelligence, ICAI'05
T2 - 2005 International Conference on Artificial Intelligence, ICAI'05
Y2 - 27 June 2005 through 30 June 2005
ER -