Published June 27, 2023 | Version v1
Dataset Open

XLEMOO numerical experiment data

Authors/Creators

  • 1. University of Jyväskylä

Description

This data is related to the article by Misitano, G. (2023) titled Exploring the Explainable Aspects and Performance of a Learnable Evolutionary Multiobjective Optimization Method, to be published in ACM Transactions on Evolutionary Learning and Optimization. It includes data for two problems: the vehicle crash worthiness problem and the car-side impact problem. Refer to the original publication and included README file for additional details.

Files

README.md

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md5:1fcf67d2771d620373c792c3eb224b04
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md5:c94e5a42494e630596790d2fdb695244
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