Phases in Zn-coated Fe analyzed through an evolutionary meta-model and multi-objective Genetic Algorithms

作者：Rajak Pankaj; Tewary Ujjal; Das Sumitesh; Bhattacharya Baidurya; Chakraborti Nirupam^*

来源：Computational Materials Science, 2011, 50(8): 2502-2516.

DOI：10.1016/j.commatsci.2011.03.034

• Fe-Zn system
• Hot dip galvanization
• Coating
• Molecular Dynamics
• Optimization
• Neural network
• Genetic Algorithms
• Multi-objective optimization
• Evolutionary algorithm
• Pareto frontier

Various interfaces in Zn coated steel are examined for their stability on the basis of two conflicting requirements of minimum deformation at a maximum absorption of shear energy. The shearing process is simulated using a Molecular Dynamics technique and meta-models of both energy and strain are constructed using an Evolutionary Neural Network that itself evolved through a multi-objective Genetic Algorithm. Simultaneous optimization of deformation and energy absorption is conducted with a Predator-prey Genetic Algorithm and the resulting Pareto frontiers are analyzed and discussed. The findings show good correspondence with existing experimental observations.

• 出版日期2011-6