Numerical application of the SPEA algorithm to reliability multi-objective optimization

• Autorzy: Guze S.
• Języki publikacji: EN

Abstrakty

EN

The main aim of the paper is the computer-aided multi-objective reliability optimization using the SPEA algorithm. This algorithm and the binary knapsack problem are described. Furthermore, the computer program that solves the knapsack problem with accordance to SPEA algorithm is introduced. Example of the possible application of this program to the multi-objective reliability optimization of exemplary parallel-series system is shown.

Słowa kluczowe

EN

multi-objective; optimization; reliability; 0-1 knapsack problem; SPEA

• Wydawca: Polskie Towarzystwo Bezpieczeństwa i Niezawodności
• Czasopismo: Journal of Polish Safety and Reliability Association
• Rocznik: 2015
• Tom: Vol. 6, No. 1
• Strony: 101--114
• Opis fizyczny: Bibliogr. 19 poz., rys., tab., wykr.

Twórcy

autor

Guze S.

• Maritime University, Gdynia, Poland

Bibliografia

• [1] Dziula, P., Kolowrocki, K., Siergiejczyk, M. (2014). Critical infrastructure systems modeling, Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars, 5, 1, 41-45, 2014.
• [2] Guze, S. (2014). Application of the knapsack problem to reliability multi-criteria optimization. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars, 5, 1, 85-90, Gdańsk-Sopot.
• [3] Kołowrocki, K. (2004). Reliability of Large Systems. Elsevier, Amsterdam - Boston - Heidelberg - London - New York - Oxford - Paris - San Diego - San Francisco - Singapore - Sydney - Tokyo.
• [4] Kołowrocki, K. & Soszyńska, J. (2010). Optimization of complex technical systems operation processes. Maintenance Problems, 1, 31-40, Radom.
• [5] Kołowrocki, K. & Soszyńska-Budny, J. (2011). Reliability and Safety of Complex Technical Systems and Processes, Modeling – Identification – Prediction – Optimization, Springer-Verlag.
• [6] Kołowrocki, K. & Soszyńska-Budny, J. (2013). Reliability prediction and optimization of complex technical systems with application in port transport. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars, 3, 1-2, 263-279, Gdańsk-Sopot.
• [7] Kołowrocki, K. & Soszyńska-Budny, J. (2014). Operation and reliability optimization of complex technical systems. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars, 5, 1, 91-106, Gdańsk Sopot.
• [8] Kuo, W. & Prasad, V.R. (2000). An annotated overview of system-reliability optimization. IEEE Trans. on Reliability 49, 2, 176-187.
• [9] Kuo, W. & Zuo, M. J. (2003). Optimal Reliability Modeling: Principles and Applications. Hoboken: John Wiley & Sons, Inc.
• [10] Lisnianski, A. & Levitin, G. (2003). Multi-State System Reliability. Assessment, Optimisation and Applications. World Scientific Publishing Co. Pte. Ltd.
• [11] Martello, S. & Toth, P. (1990). Knapsack Problems: Algorithms and Computer Implementations. Chichester, U.K.: Wiley.
• [12] Ming-Hua, L., Jung-Fa, T. and Chian-Son Y. (2012), A Review of Deterministic Optimization Methods in Engineering and Management, Mathematical Problems in Engineering, Volume 2012.
• [13] Siergiejczyk, M. & Dziula, P. (2013). Selected aspects of acts of law concerning crisis management and critical infrastructure protection. Journal of Konbin, 2 (26), p. 7988.
• [14] Sun, W. & Yuan, Y.X. (2006). Optimization theory and methods: nonlinear programming. Springer-Verlag.
• [15] Szłapczyńska, J. (2013). Multicriteria Evolutionary Weather Routing Algorithm in Practice. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 7, No. 1, 61-65, Gdynia.
• [16] Venter, G. (2010). Review of Optimization Techniques, Encyclopedia of Aerospace Engineering, John Willey and Sons, Ltd.
• [17] Zitzler, E. (1999). Evolutionary Algorithms for Multiobjective Optimization: Methods and Applications. PhD thesis, ETH Zurich, Switzerland.
• [18] Zitzler, E. & Thiele, L. (1999). Multiobjective Evolutionary Algorithms: A Comparative Case Study and the Strength Pareto Approach. IEEE Transactions on Evolutionary Computation, VOL. 3, 4, 257-271.
• [19] Website of PISA project available at www.tik.ee.ethz.ch/sop/pisa/?page=pisa.php.