Application of Genetic Algorithms to the Multi- Objective Optimization of the Inspection times of a Safety System of a Pressurized Water Reactor
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چکیده
The purpose of this paper is to present an approach to optimization in which every target is considered as a separate objective to be optimized. For an efficient search through the solution space we use a multiobjective genetic algorithm which allows us to identify a set of Pareto optimal solutions providing the decision maker with the complete spectrum of optimal solutions with respect to the various targets. An application is illustrated regarding the choice of the time intervals for the periodic testing of the components of the High Pressure Injection System (HPIS) of a Pressurized Water Reactor (PWR).
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تاریخ انتشار 2001