Free Access
Issue
Mechanics & Industry
Volume 18, Number 6, 2017
Article Number 606
Number of page(s) 12
DOI https://doi.org/10.1051/meca/2017004
Published online 21 March 2018
  1. P. Payvandy, S. Ebrahimi, Optimization of the thread take-up lever mechanism in lockstitch sewing machine using the imperialistic competitive algorithm, J. Text. Polym. 3 (2015) 12–18 [Google Scholar]
  2. S. Ebrahimi, P. Payvandy, Optimization of the link drive mechanism in a sewing machine using imperialist competitive algorithm, Int. J. Cloth. Sci. Technol. 26 (2014) 247–260 [CrossRef] [Google Scholar]
  3. J. Kamerec, J. Beran, M. Lima, M. Machado, J.M. Machado, J.P. Silva, Finding the optimal setting of the sewing needle transfer mechanism using simulation software, in: TRS 2012 41st Textile Research Symposium, Portugal, 2012 [Google Scholar]
  4. B. Peherstorfer, T. Cui, Y. Marzouk, K. Willcox, Multifidelity importance sampling, Comput. Methods Appl. Mech. Eng. 300 (2016) 490–509 [CrossRef] [Google Scholar]
  5. M. Chandrashekhar, R. Ganguli, Uncertainty handling in structural damage detection using fuzzy Logic and probabilistic simulation, Mech. Syst. Signal Process. 23 (2009) 384–404 [CrossRef] [Google Scholar]
  6. S. Cloupet, L. Chevalier, H. Chollet, Probabilistic simulation of wear in loaded rolling contact, Mech. Ind. 8 (6) (2007) 609–630 [Google Scholar]
  7. M. Motevalli, A. Zadbar, E. Elyasi, M. Jalaal, Using Monte-Carlo approach for analysis of quantitative and qualitative operation of reservoirs system with regard to the inflow uncertainty, J. Afr. Earth Sci. 105 (2015) 1–16 [CrossRef] [Google Scholar]
  8. S. Cheng, M. Li, Robust optimization using hybrid differential evolution and sequential quadratic programming, Eng. Optim. 47 (1) (2015) 87–106 [CrossRef] [Google Scholar]
  9. M. Kalantari, C. Dong, Ian J. Davies, Multi-objective robust optimization of unidirectional carbon/glass fibre reinforced hybrid composites under flexural loading, Compos. Struct. 138 (2016) 264–275 [CrossRef] [Google Scholar]
  10. G. Sun, J. Fang, X. Tian, G. Li, Q. Li, Discrete robust optimization algorithm based on Taguchi method for structural crashworthiness design, Expert Syst. Appl. 42 (2015) 4482–4492 [CrossRef] [Google Scholar]
  11. S. Ghanmi, M. Guedri, M. L. Bouazizi, N. Bouhaddi, Robust multi-level and multi-objective optimization of complex mechanical structures, Mech. Ind. 11 (2010) 393–400 [Google Scholar]
  12. M. Khorshidi, M. Soheilypour, M. Peyro, A. Atai, M. Shariat Panahi, Optimal design of four-bar mechanisms using a hybrid multi-objective GA with adaptive local search, Mech. Mach. Theor. 46 (2011) 1453–1465 [CrossRef] [Google Scholar]
  13. B. Najlawi, M. Nejlaoui, Z. Affi, L. Romdhane, An improved imperialist competitive algorithm for multi-objective optimization, Eng. Optim. 48 (11) (2016) 1823–1844 [CrossRef] [Google Scholar]
  14. S. Hosseini, A. Al Khaled, A survey on the Imperialist competitive algorithm metaheuristic: Implementation in engineering domain and directions for future research, Appl. Soft Comput. 24 (2014) 1078–1094 [CrossRef] [Google Scholar]
  15. M.R. Ghaderi, M. Aghakhani, A. Eslampanah, K. Ghaderi, The application of imperialist competitive algorithm for optimization of deposition rate in submerged arc welding process using TiO2 nanoparticle, J. Mech. Sci. Technol. (2015) 357–364 [CrossRef] [Google Scholar]
  16. K. Deb, A. Pratap, S. Agarwal, T. Meyarivan, A fast and elitist multi-objective genetic algorithm: NSGA-II, IEEE Trans. Evol. Comput. 6 (2) (2002) 182–197 [CrossRef] [Google Scholar]
  17. B. Najlawi, M. Nejlaoui, Z. Affi, L. Romdhane, Multi-objective design optimization of the NBTTL Mechanism, in: International conference on acoustics and vibration, Tunisia, 2016 [Google Scholar]
  18. M. Vallerio, D. Telen, L. Cabianca, F. Manenti, J.V. Impe, F. Logist, Robust multi-objective dynamic optimization of chemical processes using the Sigma Point method, Chem. Eng. Sci. 140 (2016) 201–216 [CrossRef] [Google Scholar]
  19. M. Martinez, S. Kotov, D. De Vleeschouwer, D. Pas, H. Pälike, Testing the impact of stratigraphic uncertainty on spectral analyses of sedimentary series, Clim. Past 12 (2016) 1765–1783 [CrossRef] [Google Scholar]
  20. G.C. Marano, S. Sgobba, R. Greco, M. Mezzina, Robust optimum design of tuned mass dampers devices in random vibrations mitigation, J. Sound Vib. 313 (2008) 472–492 [CrossRef] [Google Scholar]
  21. P. Nimmegeers, D. Telen, F. Logist, J. Van Impe, Dynamic optimization of biological networks under parametric uncertainty, BMC Syst. Biol. 10 (2016) 86 [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.