Optimisation of railway wheel profiles using a genetic algorithm
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This paper presents the procedures and preliminary results of a novel method for designing wheel profiles
for railway vehicles using a genetic algorithm. Two existing wheel profiles are chosen as parents and
genes are formed to represent these profiles. These genes are mated to produce offspring genes and then
reconstructed into profiles that have random combinations of the properties of the parents. Each of the
offspring profiles are evaluated by running a computer simulation of the behaviour of a vehicle fitted with
these wheel profiles and calculating a penalty index. The inverted penalty index is used as the fitness
value in the genetic algorithm.
The method has been used to produce optimised wheel profiles for two variants of a typical vehicle, one
with a relatively soft primary suspension and the other with a relatively stiff primary suspension.