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The search for the combination of fire risk-reducing measures at oil and gas processing facilities is a complicated task. There may be a large number of measures to reduce fire risks which need to be optimized, both technically and economically. The analysis of the existing programs for risk assessment has been conducted. The structure of database with the values of risk-reducing measures has been worked out. To reduce the time required for this task, a genetic algorithm approach has been proposed.

Searching the Optimal Combination of Fire Risks Reducing Measures at Oil and Gas Processing Facilities with the use of Genetic Algorithm