A parameter tuning method using genetic algorithms for an elevator group control system

This paper describes a new parameter tuning method for an elevator group control system. In an elevator group control system, tuning parameters describing elevator use and the building environment are important. This new tuning method uses improved genetic algorithms to follow environment changes and to give robustness. Keeping diversity is important in following environment changes. The paper also describes a method of adding random chromosomes and a method of adding other evaluations chromosomes to keep diversity. Their effects are shown by simulations