An optimal design of adaptive genetic operation

According to some shortcomings of simple genetic algorithms on prematurity and slower convergence, the paper carried through optimizing designment on simple genetic algorithms. At first, it proposed an adaptive selection operation: ultra expectation -comparation selection, adaptive crossover and mutation operation with double coordination; Then the paper proved its capability and rate of convergence by experiment. Thus, the new genetic algorithms can avoiding the phenomenon of maturating too early, keeping the multiplicity of the colony, quickening the rate of convergence. In the end, we prospected its application on the newly proposed adaptive genetic operation in the automotive appearance design.