TY - GEN
T1 - Adaptive evolutionary genetic algorithms on a class of combinatorial optimization problems
AU - Zhong, Sheng
AU - Zhang, Baihai
AU - Li, Qiao
AU - Li, Jun
AU - Lin, Zhiwei
PY - 2008
Y1 - 2008
N2 - This paper investigates an adaptive evolutionary genetic algorithm on combinatorial optimization problem, where the solution space can be organized inform of a subset tree. A kind of genetic gene uniform encode scheme and adaptive evolution idea are used before proceeding crossover operation, and crossover is achieved between the current and previous generations individual. The orthogonal table approach is utilized to produce initial population, which can satisfy the multiplicity of the initial population. Two examples are provided to illustrate the effectiveness of the proposed methods.
AB - This paper investigates an adaptive evolutionary genetic algorithm on combinatorial optimization problem, where the solution space can be organized inform of a subset tree. A kind of genetic gene uniform encode scheme and adaptive evolution idea are used before proceeding crossover operation, and crossover is achieved between the current and previous generations individual. The orthogonal table approach is utilized to produce initial population, which can satisfy the multiplicity of the initial population. Two examples are provided to illustrate the effectiveness of the proposed methods.
UR - http://www.scopus.com/inward/record.url?scp=57649178560&partnerID=8YFLogxK
U2 - 10.1109/ICNC.2008.547
DO - 10.1109/ICNC.2008.547
M3 - Conference contribution
AN - SCOPUS:57649178560
SN - 9780769533049
T3 - Proceedings - 4th International Conference on Natural Computation, ICNC 2008
SP - 166
EP - 170
BT - Proceedings - 4th International Conference on Natural Computation, ICNC 2008
T2 - 4th International Conference on Natural Computation, ICNC 2008
Y2 - 18 October 2008 through 20 October 2008
ER -