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Multi-objective evolutionary algorithms for product design

Identifying chemical compounds with optimal properties for specific applications presents a fundamental challenge in materials science. Traditional methods, based on trialand-error, are inefficient and costly. This thesis introduces an innovative integration of Computational Chemistry and Machine Le...

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Bibliographic Details
Main Author: Aslan, Bilal Hasan
Other Authors: Nitschke, Geoff
Format: Thesis
Language:English
Published: Department of Computer Science 2024
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