A hybrid multi-objective imperialist competitive algorithm and Monte Carlo method for robust safety design of a rail vehicle
暂无分享,去创建一个
[1] Caro Lucas,et al. Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition , 2007, 2007 IEEE Congress on Evolutionary Computation.
[2] Stephen J. Wright,et al. Numerical Optimization , 2018, Fundamental Statistical Inference.
[3] Ali Sadollah,et al. Water cycle algorithm for solving constrained multi-objective optimization problems , 2015, Appl. Soft Comput..
[4] Noureddine Bouhaddi,et al. Robust optimization of the non-linear behaviour of a vibrating system , 2009 .
[5] Hi Sung Lee,et al. Assessment of running safety of railway vehicles using multibody dynamics , 2010 .
[6] António Araújo,et al. Monte Carlo uncertainty simulation of surface emissivity at ambient temperature obtained by dual spectral infrared radiometry , 2014 .
[7] Najlawi Bilel,et al. An improved imperialist competitive algorithm for multi-objective optimization , 2016 .
[8] Ajmi Houidi,et al. Multiobjective robust design optimization of rail vehicle moving in short radius curved tracks based on the safety and comfort criteria , 2013, Simul. Model. Pract. Theory.
[9] Abdul Hanan Abdullah,et al. MOICA: A novel multi-objective approach based on imperialist competitive algorithm , 2013, Appl. Math. Comput..
[10] John McPhee,et al. Optimization of curving performance of rail vehicles , 2005 .
[11] M. Motevalli,et al. Using Monte-Carlo approach for analysis of quantitative and qualitative operation of reservoirs system with regard to the inflow uncertainty , 2015 .
[12] Brian Boswell,et al. Application of Markov modelling and Monte Carlo simulation technique in failure probability estimation — A consideration of corrosion defects of internally corroded pipelines , 2016 .
[13] Mian Li,et al. Robust optimization using hybrid differential evolution and sequential quadratic programming , 2015 .
[14] R. Bhattacharyya,et al. Bond graph modeling of a railway truck on curved track , 2009, Simul. Model. Pract. Theory.
[15] Mohamed Nejlaoui,et al. Analytical modeling of rail vehicle safety and comfort in short radius curved tracks , 2009 .
[16] Pradeep Jangir,et al. Multi-objective ant lion optimizer: a multi-objective optimization algorithm for solving engineering problems , 2016, Applied Intelligence.
[17] Mehdi Kalantari,et al. Multi-objective robust optimisation of unidirectional carbon/glass fibre reinforced hybrid composites under flexural loading , 2016 .