Ranking Based Selection Genetic Algorithm for Capacity Flow Assignments

@inproceedings{Lin2010RankingBS,
  title={Ranking Based Selection Genetic Algorithm for Capacity Flow Assignments},
  author={Guangming Lin and Chengbo Huang and Shaobin Zhan and Xin Lu and Yunting Lu},
  booktitle={ISICA},
  year={2010}
}
In this paper, we present a Population Disturbing Operator based on Ranking to improve the optimization efficiency of genetic algorithm. The operator is a dynamic-adaptive operator, which can not only prevent the population from the coming early convergence but also conduct the existed early convergence. When applying the improved GA to resolve the capacity and flow assignment (CFA) problem, we use a better integer-encoding rather than normal binary-coding. The integer-encoding can reduce many… CONTINUE READING