Monitoring of the genetic algorithm operators in application to the GaAs 0.7 Sb 0.3 /GaAs single quantum well nanostructure
作者： H. Arabshahi , Izadifard Morteza , Solaimani Mehdi , Sarkardei Mohammad Reza
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摘要: In this work we investigated some new aspects of a recently introduced hybrid method which was combination Genetic algorithm, Monte Carlo integration schema and variational method. We also added features to the in order reduce computational costs. Now have biased Variational (BGMV). With help different components like initial physical parameters tried find more trustworthy for nanostructure investigations. It is shown that criterions saturation quantity with respect Algorithm number iterations may not lead accurate results. CPU time program as function genetic elitist percent depicted. Exciton binding energy GaAs0.7Sb0.3/GaAs obtained.
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