A modified genetic algorithm: meta-level control of migration in a distributed GA
Zengqi Sun, Qian Wan · 2002
An algorithm for meta-leva1 control of migration in a distributed mode is presented to improve the performance of genetic algorithms. The evolutionaty mode[ of creature and an example are given jrst. It gives a good inspiration to the modified genetic algorithm. The key characteristic of the algorithm is that the meta-leva1 control of migration on the low-leva1 sub-genetic algorithm sets (meanwhile each of the sub-genetic algorithm sets has its own genetic algorithm running on ). The comparison between the modified genetic algorithm and a standard genetic algorithm is given at the end of this paper. The results have shown the effctiveness of the modi$ed genetic algorithm.