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Published in 2017 at "Materials and Manufacturing Processes"
DOI: 10.1080/10426914.2017.1303148
Abstract: ABSTRACT Multi-objective genetic algorithm (GA) is employed for the optimal design of novel heat-treatable aluminum alloys with superior performance at cryogenic temperatures. Existing database on age-hardenable aluminum alloys is utilized to create a learning model.…
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Keywords:
alloys superior;
design alloys;
rough fuzzy;
performance ... See more keywords