Using genetic algorithm in making optimal control decisions
 
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University of Technology and Life Sciences
Publication date: 2013-07-19
 
The Archives of Automotive Engineering – Archiwum Motoryzacji 2013;60(2):35–51
 
ABSTRACT
The problems presented in this article deal with operation process control in complex systems of technological object operation. Making appropriate control decisions directly influences the possibility of correct and effective carrying out of tasks assigned to the system. The paper presents a method of determining the optimal strategy for control of technological object operation process on the basis of genetic algorithm. In the presented method, determining of optimal strategy for control of technological object operation process involves the choice of a sequence of control decisions made in individual states of the modeled operation process. The method involves a choice, out of the possible decision options, of the best strategy for operation process control for which the function constituting the evaluation criterion has extreme value. Depending on one’s needs, the genetic algorithm including the obtained model of operation process may be implemented for mathematic formulation and solution of a wide array of problems connected with control of complex systems of technological object operation. It pertains mostly to the economic analysis, risk management and safety management of complex systems of technological object operation. The paper presents an example of determining optimal strategy for control (decision sequence) when the criterion function includes availability of means of transport used in a selected operation system.
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