TY - GEN
T1 - An improved genetic algorithm for solving deceptive problems
AU - Li, Jianwu
AU - Li, Minqiang
PY - 2005
Y1 - 2005
N2 - Based on the research on deceptive problems of genetic algorithms(GAs), this paper proposes an improved GA to solve deceptive problems. This method, by defining the diversity measure of gene loci for elitist individuals, deduces some gene loci which may cause schema deception. Then, the algorithm performs the complementary operation for these gene loci of elitist individuals. At last, this paper selects the trap function to do some experiments, and the experimental results show that this method is effective to solve deceptive problems of GAs.
AB - Based on the research on deceptive problems of genetic algorithms(GAs), this paper proposes an improved GA to solve deceptive problems. This method, by defining the diversity measure of gene loci for elitist individuals, deduces some gene loci which may cause schema deception. Then, the algorithm performs the complementary operation for these gene loci of elitist individuals. At last, this paper selects the trap function to do some experiments, and the experimental results show that this method is effective to solve deceptive problems of GAs.
UR - http://www.scopus.com/inward/record.url?scp=33845283891&partnerID=8YFLogxK
U2 - 10.1109/GRC.2005.1547342
DO - 10.1109/GRC.2005.1547342
M3 - Conference contribution
AN - SCOPUS:33845283891
SN - 0780390172
SN - 9780780390171
T3 - 2005 IEEE International Conference on Granular Computing
SP - 502
EP - 505
BT - 2005 IEEE International Conference on Granular Computing
T2 - 2005 IEEE International Conference on Granular Computing
Y2 - 25 July 2005 through 27 July 2005
ER -