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Application of the knapsack problem to reliability multi-criteria optimization

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The main aim of the paper is to translate reliability problems to the knapsack optimization problem. The review of the known methods of multi-criteria optimization is done. Particularly, the SPEA algorithm is presented. Furthermore, the 0-1 knapsack problem solution by SPEA algorithm is introduced and used to the reliability optimization of exemplary parallel-series system.
Rocznik
Strony
85--90
Opis fizyczny
Bibliogr. 12 poz., rys., tab.
Twórcy
autor
  • Maritime University, Gdynia, Poland
Bibliografia
  • [1] Guze, S. & Smolarek, L. (2011). Methods for risk minimizing in the process of decisionmaking under uncertainty. Journal of Polish Safety and Reliability Association - JPSRA Vol. 2, No. 1, 123-128.
  • [2] Kołowrocki, K. (2004). Reliability of Large Systems. Elsevier, Amsterdam - Boston - Heidelberg - London - New York - Oxford - Paris - San Diego - San Francisco - Singapore - Sydney - Tokyo.
  • [3] Kołowrocki, K. & Soszyńska, J. (2010). Optimization of complex technical systems operation processes. Maintenance Problems No 1, 31-40.
  • [4] Kołowrocki, K. & Soszyńska-Budny, J. (2011). Reliability and Safety of Complex Technical Systems and Processes, Modeling – Identification – Prediction – Optimization. Springer-Verlag.
  • [5] 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 Relibility Seminars – SSARS 2013 Vol. 3, No. 12, 263-279.
  • [6] Marie, S. & Courteille, E. (2009) MultiObjective Optimization of Motor Vessel Route. TransNav, The International Journal on Marine Navigation and Safety of Sea Transportation Vol. 3, No. 2, 133-141.
  • [7] Martello, S. & Toth, P. (1990). Knapsack Problems: Algorithms and Computer Implementations. Chichester, U.K.: Wiley.
  • [8] Ming-Hua, L., Jung-Fa, T. & Chian-Son, Y. (2012). A Review of Deterministic Optimization Methods in Engineering and Management. Mathematical Problems in Engineering. Volume 2012.
  • [9] Sun, W. & Yuan, Y.-X. (2006). Optimization theory and methods: nonlinear programming. Springer-Verlag.
  • [10] 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.
  • [11] Venter, G. (2010). Review of Optimization Techniques, Encyclopedia of Aerospace Engineering. John Willey and Sons, Ltd.
  • [12] Zitzler, E. & Thiele, L. (1999). Multiobjective Evolutionary Algorithms: A Comparative Case Study and the Strength Pareto Approach. IEEE Transactions on Evolutionary Computation Vol. 3, No. 4, 257-271.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b59b6a8c-fb39-4db9-9e35-8675996c90ea
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