Optimizing technical system from the safety and economic aspect by genetic algorithms

The main goal of this paper is to describe a created methodology for optimizing a complex technical system from the safety and economic aspect. The paper deals with two types of optimization - the maximizing reliability at fixed costs and minimizing costs at fixed reliability. For this purpose it was necessary to construct a fault tree of a suitably chosen technical system by using FTA analysis method. Subsequently, the event probability was assigned to each node of the fault tree by probable valuation, costs and dependence. Genetic algorithms are used as optimization tool The use of created methodology is demonstrated on the real system. The results and meaning of the methodology lie in the correct analysis, successful optimization of fault tree by genetic algorithm and processing a large number of results obtained by experiments. The conclusion summarizes the usability and benefits.