Economic optimization of industrial safety measures using genetic algorithms

Journal of Loss Prevention in the Process Industries

Volumn 24, Issue 5, 2011, Pages 541-551

  Caputo, Antonio C ^a   Pelagagge, Pacifico M ^b   Palumbo, Mario ^b  

^a ROMA TRE UNIVERSITY   (Italy)

^b UNIVERSITY OF L'AQUILA   (Italy)

Author keywords

Cost minimization; Cost benefits analysis; Genetic algorithm; Risk reduction

Indexed keywords

COMPLEX DECISION; COST MINIMIZATION; COST-BENEFITS ANALYSIS; ECONOMIC OPTIMIZATION; MINIMUM COST; NUMERICAL EXAMPLE; OBJECTIVE FUNCTIONS; OPERATING EXPENSE; OPTIMIZATION APPROACH; RISK LEVELS; RISK REDUCTION; RISK REDUCTIONS; SAFETY MEASURES;

CIVIL DEFENSE; COST BENEFIT ANALYSIS; COSTS; ECONOMICS; GENETIC ALGORITHMS; INDUSTRIAL PLANTS; NUMERICAL METHODS; OPTIMIZATION; RISK MANAGEMENT; RISK PERCEPTION;

ACCIDENT PREVENTION;

EID: 79961207669     PISSN: 09504230     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jlp.2011.01.001     Document Type: Article

References (48)

1. Andrews J.D., Bartlett L.M. Genetic algorithm optimization of a firewater deluge system. Quality and Reliability Engineering International 2003, 19(1):39-52.
2. Antes M.K., Miri M.F., Flamberg S.A. Selection and design of cost-effective risk reduction systems. Process Safety Progress 2001, 20(3):197-203.
3. Arends B.J., Jonkman S.N., Vrijling J.K., van Gelder P.H.A.J.M. Evaluation of tunnel safety: towards an economic safety optimum. Reliability Engineering and System Safety 2005, 90:217-228.
4. Avner B.Y. Cost-optimization heuristic algorithm in safety engineering. International Journal of Production Economics 2004, 91:149-164.
5. Boyabatli O., Sabuncuoglu I. Parameter selection in genetic algorithms. Journal of Systemics, Cybernetics and Informatics 2004, 2(4):78-83.
6. Search methodologies. Introductory tutorials in optimization and decision support techniques 2005, Springer. E.K. Burke, G. Kendall (Eds.).
7. Caputo AC, Palumbo M, Pelagagge PM. Economic Optimization of Industrial Safety Using Genetic Algorithms. In: Proc. 24th International System Safety Conference (ISSC 2006). Albuquerque, USA, July 30-August 4 2006.
8. Caputo AC. A novel set of ranking indices for effective selection of safety measures. In: Proc. 26th International System Safety Conference ISSC 2008. Vancouver, 25-29 August 2008.
9. Caputo A., Palumbo M, Pelagagge PM. A Software Tool for Economic Optimization of Industrial Safety Measures. In: Proc. 26th International System Safety Conference (ISSC 2008). Vancouver, Canada, 25-29 August 2008.
10. Caputo AC, Palumbo M, Salini P. Safety-based Process Plant Layout Using Genetic Algorithms. In: Proc. 25th International System Safety Conference (ISSC 2007). Baltimore, 13-17 August 2007.
11. Caputo A.C., Palumbo M., Tartaglia R. Fault tree analysis for risk assessment in the Borexino experiment. Process Safety Progress 2004, 23(2):121-131.
12. Caputo AC, Pelagagge PM, Salini P. A Multicriteria Knapsack Approach to Economic Optimization of Industrial Safety Measures. In: Proc. 27th International System Safety Conference (ISSC 2009). Huntsville, USA, 3-7 August 2009.
13. Castell C.M.L., Lakshmanan R., Skilling J.M., Banares-Alcantara R. Optimisation of process plant layout using genetic algorithms. Computers and Chemical Engineering 1998, 22:S993-S996.
14. Coello C. An updated survey of GA-based multiobjective optimization techniques. ACM Computing Surveys 2000, 32(2):109-143.
15. Davis L. Handbook of genetic algorithms 1991, Van Nostrand Reinhold, USA.
16. DeJong KA, Spears WM. An analysis of the interacting roles of population size and crossover in genetic algorithms. In: Proc. First Workshop Parallel Problem Solving from Nature, Springer-Verlag, Berlin, 1990: 38-47.
17. El-Rayes K., Khalafallah A. Trade-off between safety and cost in planning construction site layouts. Journal of Construction Engineering and Management 2005, 131(11):1186-1195.
18. Forrest S. Genetic algorithms: principles of natural selection applied to computation. Science 1993, 261:872-878.
19. Furuta H., Kameda T., Fukuda Y., Frangopol D.M. Life-cycle cost analysis for infrastructure systems: life-cycle cost vs. safety level vs. service life. Life-Cycle Performance of Deteriorating Structures 2003, 19-25.
20. Giuggioli Busacca P., Marseguerra M., Zio E. Multiobjective optimization by genetic algorithms: application to safety systems. Reliability Engineering and System Safety 2001, 72(1):59-74.
21. Goldberg D.E. Genetic algorithms in search, optimization and machine learning 1989, Addison-Wesley, USA.
22. Goldberg D.E., Deb K. A comparative analysis of selection schemes used in GAs. Foundations of GAs 1991, 69-93. Morgan Kaufmann, San Mateo, CA. G. Rawlins (Ed.).
23. Goldberg D.E., Deb K., Clark J.H. Genetic algorithms, noise, and the sizing of populations. Complex Systems 1992, 6:333-362.
24. Grefenstette J.J. Optimization of control parameters for genetic algorithm. IEEE Trans. Systems, Man, and Cybernetics 1986, SMC-16(1):122-128.
25. Haupt R., Haupt S.E. Practical genetic algorithms 1998, John Wiley & Sons.
26. Holland J. Genetic algorithms. Scientific American 1992, 66-72.
27. Jongejan R.B., Vrijling J.K. The optimization of system safety: rationality, insurance, and optimal protection. Safety, reliability and risk analysis: theory, methods and applications 2009, Taylor & Francis, London. Martorell (Ed.).
28. Koza J., Bennett F., Andre D., Keane M. Genetic programming III: Darwinian invention and problem solving 1999, Morgan Kaufmann Publishers.
29. Koza J., Keane M., Streeter M., Mydlowec W., Yu J., Lanza G. Genetic programming IV: Routine human-competitive machine intelligence 2003, Kluwer Academic Publishers.
30. Kumral M. Reliability-based optimisation of a mine production system using genetic algorithms. Journal of Loss Prevention in the Process Industries 2005, 18(3):186-189.
31. Lapa C.M.F., Pereira C.M.N.A., Mol A.C.D.A. Maximization of a nuclear system availability through maintenance scheduling optimization using a genetic algorithm. Nuclear Engineering and Design 2000, 196(2):219-231.
32. Liu M., Frangopol M. Multiobjective maintenance planning optimization for deteriorating bridges considering condition, safety, and life-cycle cost. Journal of Structural Engineering 2005, 131(5):833-842.
33. Marseguerra M., Zio E. Optimizing maintenance and repair policies via a combination of genetic algorithms and Monte Carlo simulation. Reliability Engineering and System Safety 2000, 1:69-83.
34. Marseguerra M., Zio E., Podofillini L. A multiobjective genetic algorithm approach to the optimization of the technical specifications of a nuclear safety system. Reliability Engineering and System Safety 2004, 84(1):87-99.
35. Martorell S., Sánchez A., Carlos S., Serradell V. Alternatives and challenges in optimizing industrial safety using genetic algorithms. Reliability Engineering and System Safety 2004, 86(1):25-38.
36. Martorell S., Villanueva J.F., Carlos S., Nebot Y., Sánchez A., Pitarch J.L., et al. RAMS+C informed decision-making with application to multi-objective optimization of technical specifications and maintenance using genetic algorithms. Reliability Engineering and System Safety 2005, 87(1):65-75.
37. Mitchell M. An introduction to genetic algorithms 1996, MIT Press, USA.
38. Pattison R.L., Andrews J.D. Genetic algorithms in optimal safety system design. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Engineering 1999, 213(3):187-197.
39. Rao S.S. Optimization theory and applications 1984, Wiley, USA.
40. Rardin R.L. Optimization in operations research 1998, Prentice Hall International.
41. Ravindran A., Ragsdell K.M., Reklaitis G.V. Engineering optimization: methods and applications 2006, John Wiley & Sons.
42. Reniers G.L.L., Audenaert A. Chemical plant innovative safety investment decision-support methodology. Journal of Safety Research 2009, 40(6):411-419.
43. Reniers G.L.L., Soudan K. Risicoanalyse procedures in de scheikundige nijverheid:resultaten van kwalitatief onderzoek bij 24 chemische plants. Economisch en Sociaal Tijdschrift 2003, (3):57.
44. Smith, R. (2005). Chemical process design and integration. Chapter 3. Optimization (pp. 47-48). USA: Wiley.
45. Van Dantzig D. Economic decision problems for flood prevention. Econometrica 1956, 24:276-287.
46. Vrijling J.K., van Hengel W., Houben R.J. Acceptable risk as a basis for design. Reliability Engineering and System Safety 1998, 59:141-150.
47. Wymore A.W. Model based systems engineering 1993, CRC Press, USA.
48. Yang J.E., Sung T.Y., Jin Y. Optimization of the surveillance test interval of the safety systems at the plant level. Nuclear Technology 2000, 132(3):352-365.