ABSTRACT

DAAGA is a new Dynamic Ant Algorithm Genetic Algorithm (Cakir M.C. 2009). Its framework is as follows: the solutions of Ant Colony Optimization is regarded as the seeds of genetic manipulation, then the initial population of Genetic Algorithm is optimized. The best fusion point evaluation strategy is used to determine whether invoking the Ant Colony Optimization (Wang G. & W.H. Zhang 2010). Within

the scope of the set number of iterations, if n successive generations are satisfied:

1f fn n∆ < ∆ − (1)

Genetic operation is end. Then the pheromones is generated, the global optimal solution is updated and the Ant Colony Optimization is called. The above steps are circularly executed.