Genetic Simulated Annealing Algorithm With Selective Generation

摘要

The general Genetic Algorithm has the weakness of premature and poor ability of local searching and general Simulated Anneaing doesnot have fast speed of global searching. The paper uses the conception of selective generation,designs an algorithm accompanying Genetic Algorithm and Simulated Annealing, which improves the searching speed and avoids the premature. Computing results of optimizing some hard-optimizing functions show that the method has more fast conver-gence speed.