期刊名称：International Journal of Hybrid Information Technology
印刷版ISSN：1738-9968
出版年度：2015
卷号：8
期号：6
页码：17-24
DOI：10.14257/ijhit.2015.8.6.02
出版社：SERSC
摘要：In this paper, we described a genetic algorithm that allows finding the optimal configuration for a stochastic discrete events simulator when multiple performance measures have to be considered simultaneously. This type of algorithmic approach provide particularly interesting when the decision making authority is shared by multiple decision makers with conflicting priorities. The optimal solutions found with this algorithm typically represent a middle ground solution that may be acceptable to all the involved parties. The multi-criteria approach relies on an interval based variant of the Promethee method, which is combined with a feasibility score to obtain the ranking of the chromosomes within a certain generation of the genetic algorithm.
