بهینه سازی اقتصادی ایمنی صنعتی با استفاده از الگوریتم ژنتیک
|کد مقاله||سال انتشار||مقاله انگلیسی||ترجمه فارسی||تعداد کلمات|
|79816||2011||11 صفحه PDF||سفارش دهید||10162 کلمه|
Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : Journal of Loss Prevention in the Process Industries, Volume 24, Issue 5, September 2011, Pages 541–551
The paper presents a computer-aided methodology for economic optimization of industrial plants safety. The method is based on the minimization of total safety-related cost including investment, operating expenses of adopted safety measures, and expected monetary loss from accidents. The objective function minimization is pursued resorting to a genetic algorithm which selects the best mix of safety measures able to attain the optimal risk level at minimum cost by factoring in the cost and risk reduction potential of each candidate safety measure. After a detailed description of the optimization approach the paper discusses two numerical examples showing the method application to both easy and complex decision making scenarios.