Abstract
In the paper an optimisation method for the designing of chemical composition of high-speed steels (HSS) based on genetic algorithms (GA) is presented. The complex optimisation criterion was assumed comprising maximising secondary steel hardness with simultaneously minimising cost of material. Results of the numerical simulation show that genetic algorithm-based optimisation of steel chemical composition is effective and very useful in designing of the new metallic materials.
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