How parameters in DE evolve along with searching?
In Differential Evolution algorithm, there're two specific parameters F and CR(wait a minute! why no one consider NP), which control mutation and crossover, finally the searching direction and convergence performance.
There're several ways to do parameter control
- Deterministic: Adjust the parameters accroding to some deterministic rules, like runing time.
- Adaptive: using the feedback from searching to change parameter values, like "1/5-th rule"
- Self-Adaptive:parameters are encoded in the genome, which gets into evolution as well.